added dataset summary, column names and description

Car Prediction/CarPrice_Prediction.ipynb

@@ -1,5 +1,52 @@
 {
  "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **Car Price Prediction With Linear Regression Model**"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "🚗 Hello! In this project, we will develop a Linear Regression model to predict car prices. Our dataset contains information about used cars with different specifications.\n",
+    "\n",
+    "📊 The columns in our dataset include:\n",
+    "\n",
+    "- **car_ID:** Unique identifier for each car.\n",
+    "- **symboling:** Insurance risk rating associated with the car.\n",
+    "- **CarName:** Name of the car.\n",
+    "- **fueltype:** Fuel type used by the car (gas or diesel).\n",
+    "- **aspiration:** Aspiration type of the car (std or turbo).\n",
+    "- **doornumber:** Number of doors on the car (two or four).\n",
+    "- **carbody:** Body type of the car.\n",
+    "- **drivewheel:** Type of drive wheel (4wd, fwd, or rwd).\n",
+    "- **enginelocation:** Location of the car's engine (front or rear).\n",
+    "- **wheelbase:** Wheelbase length of the car.\n",
+    "- **carlength:** Length of the car.\n",
+    "- **carwidth:** Width of the car.\n",
+    "- **carheight:** Height of the car.\n",
+    "- **curbweight:** Weight of the car.\n",
+    "- **enginetype:** Type of engine.\n",
+    "- **cylindernumber:** Number of cylinders in the engine.\n",
+    "- **enginesize:** Size of the engine in cubic inches.\n",
+    "- **fuelsystem:** Fuel delivery system used in the car.\n",
+    "- **boreratio:** Bore ratio of the car engine.\n",
+    "- **stroke:** Stroke length of the car engine.\n",
+    "- **compressionratio:** Compression ratio of the car engine.\n",
+    "- **horsepower:** Horsepower of the car.\n",
+    "- **peakrpm:** Peak revolutions per minute (RPM) of the car engine.\n",
+    "- **citympg:** Fuel efficiency in miles per gallon (MPG) for city driving.\n",
+    "- **highwaympg:** Fuel efficiency in miles per gallon (MPG) for highway driving.\n",
+    "- **price:** Price of the car.\n",
+    "\n",
+    "📈 Our goal is to analyze the impact of these features on car prices and use a Linear Regression model to predict the prices of new cars."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,