TASK_4_Email_Spam_Detection_with_Machine_Learning.ipynb

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        "import numpy as np\n",
        "import pandas as pd\n",
        "import pickle\n",
        "import nltk\n",
        "import re\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as ss\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem.porter import PorterStemmer"
      ]
    },
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        "df=pd.read_csv('/content/spam.csv',encoding='ISO-8859-1')\n",
        "df"
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              "        v1                                                 v2 Unnamed: 2  \\\n",
              "0      ham  Go until jurong point, crazy.. Available only ...        NaN   \n",
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              "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...        NaN   \n",
              "3      ham  U dun say so early hor... U c already then say...        NaN   \n",
              "4      ham  Nah I don't think he goes to usf, he lives aro...        NaN   \n",
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              "     v1                                                 v2 Unnamed: 2  \\\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5572,\n  \"fields\": [\n    {\n      \"column\": \"v1\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"spam\",\n          \"ham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"v2\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Unnamed: 2\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 43,\n        \"samples\": [\n          \" GOD said\",\n          \" SHE SHUDVETOLD U. DID URGRAN KNOW?NEWAY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Unnamed: 3\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \" \\\\\\\"OH No! COMPETITION\\\\\\\". Who knew\",\n          \" why to miss them\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Unnamed: 4\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"GNT:-)\\\"\",\n          \" one day these two will become FREINDS FOREVER!\\\"\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "l4ZYzrI9tJ5d",
        "outputId": "ec39e083-17f7-4641-88c6-4496f097b5c0"
      },
      "execution_count": null,
      "outputs": [
        {
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              "        v1                                                 v2 Unnamed: 2  \\\n",
              "5567  spam  This is the 2nd time we have tried 2 contact u...        NaN   \n",
              "5568   ham              Will Ì_ b going to esplanade fr home?        NaN   \n",
              "5569   ham  Pity, * was in mood for that. So...any other s...        NaN   \n",
              "5570   ham  The guy did some bitching but I acted like i'd...        NaN   \n",
              "5571   ham                         Rofl. Its true to its name        NaN   \n",
              "\n",
              "     Unnamed: 3 Unnamed: 4  \n",
              "5567        NaN        NaN  \n",
              "5568        NaN        NaN  \n",
              "5569        NaN        NaN  \n",
              "5570        NaN        NaN  \n",
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              "        const element = document.querySelector('#df-a6c850b4-b353-4f7d-8cc0-ad372f3b283d');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e67d9bef-3b3d-4254-8f70-5d848f513593\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e67d9bef-3b3d-4254-8f70-5d848f513593')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e67d9bef-3b3d-4254-8f70-5d848f513593 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
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        "df.dtypes"
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          "height": 241
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        "outputId": "5ced93a5-2cf9-47fd-d64b-d6889dace4fc"
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          "data": {
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              "</div><br><label><b>dtype:</b> object</label>"
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    {
      "cell_type": "code",
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        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
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          "height": 241
        },
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        "outputId": "438f3b7f-4918-4a7a-8153-d559ee1933c1"
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      "execution_count": null,
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        {
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          "data": {
            "text/plain": [
              "v1               0\n",
              "v2               0\n",
              "Unnamed: 2    5522\n",
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    {
      "cell_type": "code",
      "source": [
        "df.drop(['Unnamed: 2','Unnamed: 3','Unnamed: 4'],axis=1,inplace=True)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "W5h1ZfVTtfOj",
        "outputId": "e6fbe970-094c-4969-d732-18c33d9da0c9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        v1                                                 v2\n",
              "0      ham  Go until jurong point, crazy.. Available only ...\n",
              "1      ham                      Ok lar... Joking wif u oni...\n",
              "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3      ham  U dun say so early hor... U c already then say...\n",
              "4      ham  Nah I don't think he goes to usf, he lives aro...\n",
              "...    ...                                                ...\n",
              "5567  spam  This is the 2nd time we have tried 2 contact u...\n",
              "5568   ham              Will Ì_ b going to esplanade fr home?\n",
              "5569   ham  Pity, * was in mood for that. So...any other s...\n",
              "5570   ham  The guy did some bitching but I acted like i'd...\n",
              "5571   ham                         Rofl. Its true to its name\n",
              "\n",
              "[5572 rows x 2 columns]"
            ],
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              "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
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              "      <td>Rofl. Its true to its name</td>\n",
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              "<p>5572 rows × 2 columns</p>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-37a5e37e-879c-40ba-ac94-359493d6a8b2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-37a5e37e-879c-40ba-ac94-359493d6a8b2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "\n",
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              "    fill: var(--button-hover-fill-color);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "\n",
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              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
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              "\n",
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              "\n",
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              "            title=\"Generate code using this dataframe.\"\n",
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            }
          },
          "metadata": {},
          "execution_count": 7
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    {
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        "df.duplicated()"
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          "height": 458
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        "outputId": "7e3e5d1b-59be-4359-f577-01825a9ca4b4"
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      "execution_count": null,
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          "data": {
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              "0       False\n",
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              "        ...  \n",
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        {
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          "metadata": {},
          "execution_count": 9
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    {
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      "source": [
        "df.drop_duplicates(inplace=True)\n",
        "df"
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          "height": 424
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        "id": "OGej2RRMyocw",
        "outputId": "b020b302-51f7-4ea4-bd26-a297284aa3cf"
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      "execution_count": null,
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            "text/plain": [
              "        v1                                                 v2\n",
              "0      ham  Go until jurong point, crazy.. Available only ...\n",
              "1      ham                      Ok lar... Joking wif u oni...\n",
              "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
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              "4      ham  Nah I don't think he goes to usf, he lives aro...\n",
              "...    ...                                                ...\n",
              "5567  spam  This is the 2nd time we have tried 2 contact u...\n",
              "5568   ham              Will Ì_ b going to esplanade fr home?\n",
              "5569   ham  Pity, * was in mood for that. So...any other s...\n",
              "5570   ham  The guy did some bitching but I acted like i'd...\n",
              "5571   ham                         Rofl. Its true to its name\n",
              "\n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6218cf54-1dff-4721-801a-d79661a37814 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_5f5d5b7c-078e-4a49-8f6a-371cf808a182\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_5f5d5b7c-078e-4a49-8f6a-371cf808a182 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5169,\n  \"fields\": [\n    {\n      \"column\": \"v1\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"spam\",\n          \"ham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"v2\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Checking Null values\n",
        "df.isnull().sum()*100/df.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "l4o3zjjay2QT",
        "outputId": "137ee318-4da5-46f9-c648-ec26e80b1dca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "v1    0.0\n",
              "v2    0.0\n",
              "dtype: float64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>v1</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>v2</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns=['Target','Text']\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "sLj8RW9-zTV0",
        "outputId": "9201f713-43fa-4cad-bfa0-21e88e6f7aea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Target                                               Text\n",
              "0       ham  Go until jurong point, crazy.. Available only ...\n",
              "1       ham                      Ok lar... Joking wif u oni...\n",
              "2      spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3       ham  U dun say so early hor... U c already then say...\n",
              "4       ham  Nah I don't think he goes to usf, he lives aro...\n",
              "...     ...                                                ...\n",
              "5567   spam  This is the 2nd time we have tried 2 contact u...\n",
              "5568    ham              Will Ì_ b going to esplanade fr home?\n",
              "5569    ham  Pity, * was in mood for that. So...any other s...\n",
              "5570    ham  The guy did some bitching but I acted like i'd...\n",
              "5571    ham                         Rofl. Its true to its name\n",
              "\n",
              "[5169 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1342b2fa-bbd8-4f16-b3e3-e4b5a3570ff6\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Target</th>\n",
              "      <th>Text</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ham</td>\n",
              "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ham</td>\n",
              "      <td>Ok lar... Joking wif u oni...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>spam</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ham</td>\n",
              "      <td>U dun say so early hor... U c already then say...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ham</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5567</th>\n",
              "      <td>spam</td>\n",
              "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5568</th>\n",
              "      <td>ham</td>\n",
              "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5569</th>\n",
              "      <td>ham</td>\n",
              "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5570</th>\n",
              "      <td>ham</td>\n",
              "      <td>The guy did some bitching but I acted like i'd...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5571</th>\n",
              "      <td>ham</td>\n",
              "      <td>Rofl. Its true to its name</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5169 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1342b2fa-bbd8-4f16-b3e3-e4b5a3570ff6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1342b2fa-bbd8-4f16-b3e3-e4b5a3570ff6 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1342b2fa-bbd8-4f16-b3e3-e4b5a3570ff6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-32fd3a67-973f-4d92-8c46-fe81828547bc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-32fd3a67-973f-4d92-8c46-fe81828547bc')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-32fd3a67-973f-4d92-8c46-fe81828547bc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_549652a6-871f-4240-a40c-3765a8e4ffb2\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_549652a6-871f-4240-a40c-3765a8e4ffb2 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5169,\n  \"fields\": [\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"spam\",\n          \"ham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "KlNVYuqP0H7L",
        "outputId": "202d83c4-9c0b-4e75-df23-56a7ca9e2e8b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Target    object\n",
              "Text      object\n",
              "dtype: object"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Target</th>\n",
              "      <td>object</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Text</th>\n",
              "      <td>object</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Target'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "-gPMxqX60TMB",
        "outputId": "0f36e2fb-5570-4f97-ca3d-370cb7639426"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Target\n",
              "ham     4516\n",
              "spam     653\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Target</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ham</th>\n",
              "      <td>4516</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>spam</th>\n",
              "      <td>653</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ss.countplot(x='Target',data=df,color='purple')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "NuIu7UdP0ViI",
        "outputId": "7e8a2646-d8fa-41e3-8d2d-dc65fcad5584"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Target', ylabel='count'>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.reset_index(drop=True,inplace=True)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "jU5W-kbB1Z2m",
        "outputId": "7e17b43e-2393-4a79-8031-1e22fce3f49a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Target                                               Text\n",
              "0       ham  Go until jurong point, crazy.. Available only ...\n",
              "1       ham                      Ok lar... Joking wif u oni...\n",
              "2      spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3       ham  U dun say so early hor... U c already then say...\n",
              "4       ham  Nah I don't think he goes to usf, he lives aro...\n",
              "...     ...                                                ...\n",
              "5164   spam  This is the 2nd time we have tried 2 contact u...\n",
              "5165    ham              Will Ì_ b going to esplanade fr home?\n",
              "5166    ham  Pity, * was in mood for that. So...any other s...\n",
              "5167    ham  The guy did some bitching but I acted like i'd...\n",
              "5168    ham                         Rofl. Its true to its name\n",
              "\n",
              "[5169 rows x 2 columns]"
            ],
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              "  <thead>\n",
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              "      <td>ham</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ham</td>\n",
              "      <td>Ok lar... Joking wif u oni...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>spam</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ham</td>\n",
              "      <td>U dun say so early hor... U c already then say...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ham</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <th>5164</th>\n",
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              "      <th>5165</th>\n",
              "      <td>ham</td>\n",
              "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5166</th>\n",
              "      <td>ham</td>\n",
              "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5167</th>\n",
              "      <td>ham</td>\n",
              "      <td>The guy did some bitching but I acted like i'd...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5168</th>\n",
              "      <td>ham</td>\n",
              "      <td>Rofl. Its true to its name</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5169 rows × 2 columns</p>\n",
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              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c5ab3fcc-e92f-4413-838f-07d9753af488 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c5ab3fcc-e92f-4413-838f-07d9753af488');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e6fa3500-4c4b-40f0-b188-459a70ed62bf\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e6fa3500-4c4b-40f0-b188-459a70ed62bf')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e6fa3500-4c4b-40f0-b188-459a70ed62bf button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_0e5d5bbe-547a-4068-b830-76b45e1c276c\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_0e5d5bbe-547a-4068-b830-76b45e1c276c button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5169,\n  \"fields\": [\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"spam\",\n          \"ham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Target']=df['Target'].map({'ham':1,'spam':0})\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "PMm5mpZN1wgE",
        "outputId": "c02eba5e-9d80-447c-8b20-8e4a711acd26"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Target                                               Text\n",
              "0          1  Go until jurong point, crazy.. Available only ...\n",
              "1          1                      Ok lar... Joking wif u oni...\n",
              "2          0  Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3          1  U dun say so early hor... U c already then say...\n",
              "4          1  Nah I don't think he goes to usf, he lives aro...\n",
              "...      ...                                                ...\n",
              "5164       0  This is the 2nd time we have tried 2 contact u...\n",
              "5165       1              Will Ì_ b going to esplanade fr home?\n",
              "5166       1  Pity, * was in mood for that. So...any other s...\n",
              "5167       1  The guy did some bitching but I acted like i'd...\n",
              "5168       1                         Rofl. Its true to its name\n",
              "\n",
              "[5169 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5e26faff-76ae-4654-8d27-c48572cc844c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Target</th>\n",
              "      <th>Text</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>Ok lar... Joking wif u oni...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>U dun say so early hor... U c already then say...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5164</th>\n",
              "      <td>0</td>\n",
              "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5165</th>\n",
              "      <td>1</td>\n",
              "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5166</th>\n",
              "      <td>1</td>\n",
              "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5167</th>\n",
              "      <td>1</td>\n",
              "      <td>The guy did some bitching but I acted like i'd...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5168</th>\n",
              "      <td>1</td>\n",
              "      <td>Rofl. Its true to its name</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5169 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5e26faff-76ae-4654-8d27-c48572cc844c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5e26faff-76ae-4654-8d27-c48572cc844c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5e26faff-76ae-4654-8d27-c48572cc844c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-1ab37ae4-d377-4a99-b1ed-4c5524957fd7\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1ab37ae4-d377-4a99-b1ed-4c5524957fd7')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "            title=\"Generate code using this dataframe.\"\n",
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              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5169,\n  \"fields\": [\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nltk.download('stopwords')\n",
        "nltk.download('punkt')\n",
        "nltk.download('wordnet')\n",
        "nltk.download('omw-1.4')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g4ApXW8S2IJg",
        "outputId": "cef135e3-9c86-4975-b58b-1c8fca34a472"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data] Downloading package omw-1.4 to /root/nltk_data...\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "messages=df.Text\n",
        "messages"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "kS1yN0ZF2Urs",
        "outputId": "d6354114-af68-47b0-8aed-e05ad3dbec18"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       Go until jurong point, crazy.. Available only ...\n",
              "1                           Ok lar... Joking wif u oni...\n",
              "2       Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3       U dun say so early hor... U c already then say...\n",
              "4       Nah I don't think he goes to usf, he lives aro...\n",
              "                              ...                        \n",
              "5164    This is the 2nd time we have tried 2 contact u...\n",
              "5165                Will Ì_ b going to esplanade fr home?\n",
              "5166    Pity, * was in mood for that. So...any other s...\n",
              "5167    The guy did some bitching but I acted like i'd...\n",
              "5168                           Rofl. Its true to its name\n",
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              "<p>5169 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.tokenize import TweetTokenizer\n",
        "tk=TweetTokenizer()\n",
        "messages=messages.apply(lambda x:tk.tokenize(x)).apply(lambda x:\" \".join(x))\n",
        "messages"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "hmZNqw6K2XLU",
        "outputId": "f5ce7543-a1e6-4f64-aefa-a4da34251641"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       Go until jurong point , crazy .. Available onl...\n",
              "1                         Ok lar ... Joking wif u oni ...\n",
              "2       Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3       U dun say so early hor ... U c already then sa...\n",
              "4       Nah I don't think he goes to usf , he lives ar...\n",
              "                              ...                        \n",
              "5164    This is the 2nd time we have tried 2 contact u...\n",
              "5165               Will Ì_ b going to esplanade fr home ?\n",
              "5166    Pity , * was in mood for that . So ... any oth...\n",
              "5167    The guy did some bitching but I acted like i'd...\n",
              "5168                          Rofl . Its true to its name\n",
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              "      <td>Will Ì_ b going to esplanade fr home ?</td>\n",
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              "<p>5169 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
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          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "messages=messages.str.replace('[^a-zA-Z0-9]+',' ')\n",
        "messages"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "gUZtk2m92rsh",
        "outputId": "5c7da693-e36a-4e63-e7bf-5006e34de755"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       Go until jurong point , crazy .. Available onl...\n",
              "1                         Ok lar ... Joking wif u oni ...\n",
              "2       Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3       U dun say so early hor ... U c already then sa...\n",
              "4       Nah I don't think he goes to usf , he lives ar...\n",
              "                              ...                        \n",
              "5164    This is the 2nd time we have tried 2 contact u...\n",
              "5165               Will Ì_ b going to esplanade fr home ?\n",
              "5166    Pity , * was in mood for that . So ... any oth...\n",
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              "5168                          Rofl . Its true to its name\n",
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              "      <td>Will Ì_ b going to esplanade fr home ?</td>\n",
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              "      <th>5166</th>\n",
              "      <td>Pity , * was in mood for that . So ... any oth...</td>\n",
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              "      <th>5167</th>\n",
              "      <td>The guy did some bitching but I acted like i'd...</td>\n",
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              "<p>5169 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.tokenize import word_tokenize\n",
        "messages=messages.apply(lambda x:' '.join([w for w in word_tokenize(x) if len(w)>=3]))\n",
        "messages"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "NlJJDvdc3APL",
        "outputId": "992cbd31-989c-4714-c47e-d3b39ad7da90"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       until jurong point crazy Available only bugis ...\n",
              "1                              lar ... Joking wif oni ...\n",
              "2       Free entry wkly comp win Cup final tkts 21st M...\n",
              "3              dun say early hor ... already then say ...\n",
              "4         Nah n't think goes usf lives around here though\n",
              "                              ...                        \n",
              "5164    This the 2nd time have tried contact have won ...\n",
              "5165                            Will going esplanade home\n",
              "5166     Pity was mood for that ... any other suggestions\n",
              "5167    The guy did some bitching but acted like inter...\n",
              "5168                               Rofl Its true its name\n",
              "Name: Text, Length: 5169, dtype: object"
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>until jurong point crazy Available only bugis ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>lar ... Joking wif oni ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Free entry wkly comp win Cup final tkts 21st M...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>dun say early hor ... already then say ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Nah n't think goes usf lives around here though</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5164</th>\n",
              "      <td>This the 2nd time have tried contact have won ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5165</th>\n",
              "      <td>Will going esplanade home</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5166</th>\n",
              "      <td>Pity was mood for that ... any other suggestions</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5167</th>\n",
              "      <td>The guy did some bitching but acted like inter...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5168</th>\n",
              "      <td>Rofl Its true its name</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5169 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.stem import SnowballStemmer\n",
        "stemmer=SnowballStemmer('english')\n",
        "messages=messages.apply(lambda x:[stemmer.stem(i.lower()) for i in tk.tokenize(x)]).apply(lambda x:' '.join(x))\n",
        "messages"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "wE8DIIIJ3HvK",
        "outputId": "c9bc929d-36fa-49ba-a195-4d2d15bc1df5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       until jurong point crazi avail onli bugi great...\n",
              "1                                lar ... joke wif oni ...\n",
              "2       free entri wkli comp win cup final tkts 21st m...\n",
              "3              dun say earli hor ... alreadi then say ...\n",
              "4           nah n't think goe usf live around here though\n",
              "                              ...                        \n",
              "5164    this the 2nd time have tri contact have won th...\n",
              "5165                                will go esplanad home\n",
              "5166         piti was mood for that ... ani other suggest\n",
              "5167    the guy did some bitch but act like interest b...\n",
              "5168                                 rofl it true it name\n",
              "Name: Text, Length: 5169, dtype: object"
            ],
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              "      <td>until jurong point crazi avail onli bugi great...</td>\n",
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              "      <td>lar ... joke wif oni ...</td>\n",
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              "      <td>free entri wkli comp win cup final tkts 21st m...</td>\n",
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              "      <th>3</th>\n",
              "      <td>dun say earli hor ... alreadi then say ...</td>\n",
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              "      <th>4</th>\n",
              "      <td>nah n't think goe usf live around here though</td>\n",
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              "      <th>5165</th>\n",
              "      <td>will go esplanad home</td>\n",
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              "      <th>5166</th>\n",
              "      <td>piti was mood for that ... ani other suggest</td>\n",
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              "    <tr>\n",
              "      <th>5167</th>\n",
              "      <td>the guy did some bitch but act like interest b...</td>\n",
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              "    <tr>\n",
              "      <th>5168</th>\n",
              "      <td>rofl it true it name</td>\n",
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              "<p>5169 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.corpus import stopwords\n",
        "sw=stopwords.words('english')\n",
        "messages=messages.apply(lambda x:[i for i in tk.tokenize(x) if i not in sw]).apply(lambda x:' '.join(x))\n",
        "messages"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "szxqJrqh3Ulk",
        "outputId": "aa1ba45e-9af7-45af-a2a0-d903651d8d95"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       jurong point crazi avail onli bugi great world...\n",
              "1                                lar ... joke wif oni ...\n",
              "2       free entri wkli comp win cup final tkts 21st m...\n",
              "3                   dun say earli hor ... alreadi say ...\n",
              "4                nah n't think goe usf live around though\n",
              "                              ...                        \n",
              "5164    2nd time tri contact 750 pound prize claim eas...\n",
              "5165                                     go esplanad home\n",
              "5166                            piti mood ... ani suggest\n",
              "5167    guy bitch act like interest buy someth els nex...\n",
              "5168                                       rofl true name\n",
              "Name: Text, Length: 5169, dtype: object"
            ],
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              "        text-align: right;\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Text</th>\n",
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              "      <td>jurong point crazi avail onli bugi great world...</td>\n",
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              "      <td>free entri wkli comp win cup final tkts 21st m...</td>\n",
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              "      <td>nah n't think goe usf live around though</td>\n",
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              "    <tr>\n",
              "      <th>5165</th>\n",
              "      <td>go esplanad home</td>\n",
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              "    <tr>\n",
              "      <th>5166</th>\n",
              "      <td>piti mood ... ani suggest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5167</th>\n",
              "      <td>guy bitch act like interest buy someth els nex...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5168</th>\n",
              "      <td>rofl true name</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5169 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "vec=TfidfVectorizer()\n",
        "train_data=vec.fit_transform(messages)\n",
        "print(train_data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mxUo6SCF3l-o",
        "outputId": "9130c4ca-afc9-4807-d3d0-1de332a6d197"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  (0, 6716)\t0.2013867907734348\n",
            "  (0, 1032)\t0.36428440102840937\n",
            "  (0, 3009)\t0.16860510866118522\n",
            "  (0, 1803)\t0.3072698363754341\n",
            "  (0, 1570)\t0.3476087098699431\n",
            "  (0, 6888)\t0.254303847590084\n",
            "  (0, 3047)\t0.20298416882662984\n",
            "  (0, 1572)\t0.3072698363754341\n",
            "  (0, 4570)\t0.17656501591101745\n",
            "  (0, 1219)\t0.2787625540489465\n",
            "  (0, 2007)\t0.28141685012718554\n",
            "  (0, 4872)\t0.24898971602827166\n",
            "  (0, 3613)\t0.36428440102840937\n",
            "  (1, 4568)\t0.5876124738684758\n",
            "  (1, 6812)\t0.46013546659668464\n",
            "  (1, 3582)\t0.5015445268614889\n",
            "  (1, 3746)\t0.4375385931655701\n",
            "  (2, 78)\t0.2720465433280081\n",
            "  (2, 1104)\t0.1888721380891482\n",
            "  (2, 5126)\t0.1888721380891482\n",
            "  (2, 6452)\t0.14177944934091913\n",
            "  (2, 5888)\t0.22946823036866862\n",
            "  (2, 5083)\t0.1899133822271452\n",
            "  (2, 5164)\t0.18081394491232577\n",
            "  (2, 792)\t0.25959318511541646\n",
            "  :\t:\n",
            "  (5164, 4992)\t0.212579004789552\n",
            "  (5164, 4754)\t0.22824526799739392\n",
            "  (5164, 4570)\t0.1743943177600958\n",
            "  (5165, 2530)\t0.7817835348926222\n",
            "  (5165, 2971)\t0.43937050009107986\n",
            "  (5165, 3248)\t0.4424568546429253\n",
            "  (5166, 4824)\t0.5957106816391671\n",
            "  (5166, 4227)\t0.5218234115358634\n",
            "  (5166, 5990)\t0.5218234115358634\n",
            "  (5166, 1050)\t0.31706377611948167\n",
            "  (5167, 1417)\t0.36519233997319694\n",
            "  (5167, 898)\t0.38135034693167297\n",
            "  (5167, 3457)\t0.33190615541543794\n",
            "  (5167, 3089)\t0.2628277317994631\n",
            "  (5167, 2910)\t0.3434871947050315\n",
            "  (5167, 2460)\t0.30406221983540654\n",
            "  (5167, 1598)\t0.25744365583114087\n",
            "  (5167, 5742)\t0.25530900158403685\n",
            "  (5167, 4393)\t0.26122685644622906\n",
            "  (5167, 3823)\t0.19791145139582447\n",
            "  (5167, 6749)\t0.22639144678317474\n",
            "  (5167, 2822)\t0.2034886879912949\n",
            "  (5168, 5306)\t0.6874095747364987\n",
            "  (5168, 6416)\t0.5401327991545245\n",
            "  (5168, 4318)\t0.48551481526116586\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MO3Dfl7J3xdJ",
        "outputId": "0acd1be7-ea5a-4d7f-e2d4-ca7387fa7f47"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5169, 7041)"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y=df['Target'].values\n",
        "y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wKc4HCr14Aq7",
        "outputId": "bf71ddd1-7f80-401a-ba3e-a45449179fcf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 0, ..., 1, 1, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_data=train_data.toarray()"
      ],
      "metadata": {
        "id": "v9WHVsfK4CZr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "x_train,x_test,y_train,y_test=train_test_split(train_data,y,test_size=0.30,random_state=0)\n",
        "print(x_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gk-ZYLVO4Gdd",
        "outputId": "d8cac6ce-50e8-4ded-f189-8898c25f4de0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " ...\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(x_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QRxA8Fky4Mf7",
        "outputId": "a6f09e4a-be5b-475f-ded4-b5b3156f8117"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " ...\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]\n",
            " [0. 0. 0. ... 0. 0. 0.]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_train"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZsXWeHw74OXJ",
        "outputId": "efb094a2-7f9a-4779-c4b2-edebdfd7439c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 1, ..., 1, 1, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_test"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9w-uJXlV4ShV",
        "outputId": "8a502b88-2ab7-44a5-b34c-f17f8a731a10"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 1, ..., 1, 1, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**CLASSIFICATION MODEL TRAINING AND EVALUATION**"
      ],
      "metadata": {
        "id": "xTZjcw4_7wv5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "knn=KNeighborsClassifier(n_neighbors=7)\n",
        "naive=GaussianNB()\n",
        "svm_model=SVC()\n",
        "tree=DecisionTreeClassifier(criterion='entropy')\n",
        "lst=[knn,naive,svm_model,tree]"
      ],
      "metadata": {
        "id": "8PoETQtS4XE3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in lst:\n",
        "  print(i,'Model')\n",
        "  i.fit(x_train,y_train)\n",
        "  y_pred=i.predict(x_test)\n",
        "  print(y_pred)\n",
        "  print(\"Accuracy_score :\")\n",
        "  print(accuracy_score(y_test,y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D5A9D64C4jsm",
        "outputId": "64deb84c-a196-428b-af90-f9dc8870faec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "KNeighborsClassifier(n_neighbors=7) Model\n",
            "[1 1 1 ... 1 1 1]\n",
            "Accuracy_score :\n",
            "0.8800773694390716\n",
            "GaussianNB() Model\n",
            "[1 1 1 ... 1 1 1]\n",
            "Accuracy_score :\n",
            "0.8697614442295294\n",
            "SVC() Model\n",
            "[1 1 1 ... 1 1 1]\n",
            "Accuracy_score :\n",
            "0.9638942617666022\n",
            "DecisionTreeClassifier(criterion='entropy') Model\n",
            "[1 1 1 ... 1 1 1]\n",
            "Accuracy_score :\n",
            "0.9587362991618311\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "with open('model1.pkl', 'wb') as file:\n",
        "    pickle.dump(svm_model, file)"
      ],
      "metadata": {
        "id": "ZSkdIP0OLCVy"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}