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<!DOCTYPE html>
<html lang="en" >
<head>
<meta charset="UTF-8">
<title>66 Days of Data</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="title" property="og:title" content="66 Days of Data">
<meta name="author" content="Divyanshu Kumar">
<meta name="description" property="og:description" content="On this page, You will find a collection frequently asked questions in Machine Learning Engineer Interviews.">
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<link rel="stylesheet" href="./static/style.css">
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</head>
<body>
<!-- partial:index.partial.html -->
<h1 class="title">66 Days of Data</h1>
<div id="app" class="container">
<card data-image="./assets/Day00.png">
<h1 slot="header">Day 01</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-machinelearning-datascience-activity-6828303178816221184-hK9i"target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Intro to Machine Learning</a></p>
</card>
<card data-image="./assets/Day01.jpg">
<h1 slot="header">Day 02</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6828655585618227201-3moq"target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Approaching Machine Learning Problems</a></p>
</card>
<card data-image="./assets/Day02.jpg">
<h1 slot="header">Day 03</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6829011624318382081-mCBM" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Categories of Machine Learning Algorithm</a></p>
</card>
<card data-image="./assets/Day03.jpg">
<h1 slot="header">Day 04</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6829419866932551680-1PkM" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Different types of architecture in Machine Learning</a></p>
</card>
<card data-image="./assets/Day04.jpg">
<h1 slot="header">Day 05</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6829656799076085760-35J6" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Info about basic Mathematics used in Machine Learning</a></p>
</card>
<card data-image="./assets/Day05.jpg">
<h1 slot="header">Day 06</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6830051121252442112-HGGt" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Descriptive Statistics</a></p>
</card>
<card data-image="./assets/Day06.jpg">
<h1 slot="header">Day 07</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_different-types-of-distribution-activity-6830406303190544384-8OLt" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Different types of Distribution</a></p>
</card>
<card data-image="./assets/Day07.jpg">
<h1 slot="header">Day 08</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_basic-rules-in-probability-activity-6830745220422995968-Nxy7" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Fundamental Rules in Probability</a></p>
</card>
<card data-image="./assets/Day08.jpg">
<h1 slot="header">Day 09</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6831216915332120576-Q64_" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Covariance and Correlation</a></p>
</card>
<card data-image="./assets/Day09.jpg">
<h1 slot="header">Day 10</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6831548642185355264-OhE1" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Skewness</a></p>
</card>
<card data-image="./assets/Day10.jpg">
<h1 slot="header">Day 11</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6831980642880880640-YhLK" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Statistical Significance of Machine Learning Models</a></p>
</card>
<card data-image="./assets/Day11.jpg">
<h1 slot="header">Day 12</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6832277404707381248--qNt" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Cost Function</a></p>
</card>
<card data-image="./assets/Day12.jpg">
<h1 slot="header">Day 13</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_gradient-descent-activity-6832627548464267264-bnG8" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Gradient Descent</a></p>
</card>
<card data-image="./assets/Day13.jpg">
<h1 slot="header">Day 14</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_insights-about-regression-activity-6833000777641000960-Dtaq" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Regression</a></p>
</card>
<card data-image="./assets/Day14.jpg">
<h1 slot="header">Day 15</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6833344741690761216-woIh" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Cross Validation</a></p>
</card>
<card data-image="./assets/Day15.jpg">
<h1 slot="header">Day 16</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_brief-intuition-of-classification-activity-6833722493996539904-vaDL" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Classification</a></p>
</card>
<card data-image="./assets/Day16.jpg">
<h1 slot="header">Day 17</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6834058860890869760-1884" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Clustering</a></p>
</card>
<card data-image="./assets/Day17.jpg">
<h1 slot="header">Day 18</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6834479377586229248-Gd5M" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Reinforcement Learning</a></p>
</card>
<card data-image="./assets/Day18.jpg">
<h1 slot="header">Day 19</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_feature-engineering-and-selection-a-practical-activity-6834803951116922881-_8fR" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Feature Engineering & Selection</a></p>
</card>
<card data-image="./assets/Day19.jpg">
<h1 slot="header">Day 20</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6835195061312073728-AG5Q" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Announcement/Suggestions</a></p>
</card>
<card data-image="./assets/Day20.jpg">
<h1 slot="header">Day 21</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6835476637707051009-mAdd" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Indepth intuition of k-Nearest Neighbors(kNN) Algorithm</a></p>
</card>
<card data-image="./assets/Day21.jpg">
<h1 slot="header">Day 22</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6835875330524377090-0xFp" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Indepth intuition of Naive Bayes Classifier</a></p>
</card>
<card data-image="./assets/Day22.jpg">
<h1 slot="header">Day 23</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6836255411033788417-mmvf" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Indepth intuition of Decision Tree Algorithm</a></p>
</card>
<card data-image="./assets/Day23.jpg">
<h1 slot="header">Day 24</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6836624197943488512-qajn" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨End-to-End ML Models(Web Apps)-I</a></p>
</card>
<card data-image="./assets/Day24.jpg">
<h1 slot="header">Day 25</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6836987342746714112-qnXO" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨End-to-End ML Models(Web Apps) - Model Building</a></p>
</card>
<card data-image="./assets/Day25.jpg">
<h1 slot="header">Day 26</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_spam-analyzer-activity-6837339024395501568-b7fv" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Check out the first End-to-end model in this series</a></p>
</card>
<card data-image="./assets/Day26.jpg">
<h1 slot="header">Day 27</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6837712968520749056-AoT9" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Categorical Features </a></p>
</card>
<card data-image="./assets/Day27.jpg">
<h1 slot="header">Day 28</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6838039378418388992-pUQ1" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Short Description of encoding techniques</a></p>
</card>
<card data-image="./assets/Day28.jpg">
<h1 slot="header">Day 29</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6838431348227747840-Wk2M" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Popular Similarity Measures in Machine Learning</a></p>
</card>
<card data-image="./assets/Day29.jpg">
<h1 slot="header">Day 30</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6838795105420361728-G5I-" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨In-depth insight about CountVectrorizer </a></p>
</card>
<card data-image="./assets/Day30.jpg">
<h1 slot="header">Day 31</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6839183196551286784-Odmv" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨Indepth intuition of K-means algorithm</a></p>
</card>
<card data-image="./assets/Day31.jpg">
<h1 slot="header">Day 32</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6839500809487704064-DbrW" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👉🏼 Insights about Elbow Method</a></p>
</card>
<card data-image="./assets/Day32.jpg">
<h1 slot="header">Day 33</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6839898648873177088-d0_g" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Insights about Perceptrons in Machine Learning🎯</a></p>
</card>
<card data-image="./assets/Day33.jpg">
<h1 slot="header">Day 34</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6840219983511986176-nbpf" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 In-depth intuition of Support Vector Machine (SVM)</a></p>
</card>
<card data-image="./assets/Day34.jpg">
<h1 slot="header">Day 35</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6840585373513592832-TISl" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Understanding the API design of Scikit-Learn</a></p>
</card>
<card data-image="./assets/Day35.jpg">
<h1 slot="header">Day 36</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6840945798751092736-rBK_" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of Gradient Descent</a></p>
</card>
<card data-image="./assets/Day36.jpg">
<h1 slot="header">Day 37</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6841331875743719425-LPva" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of Ensemble Learning</a></p>
</card>
<card data-image="./assets/Day37.jpg">
<h1 slot="header">Day 38</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6841695427822272512-QWVA" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of Bagging and Pasting</a></p>
</card>
<card data-image="./assets/Day38.jpg">
<h1 slot="header">Day 39</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6842057817378177025-ePvb" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of Random Forest</a></p>
</card>
<card data-image="./assets/Day39.jpg">
<h1 slot="header">Day 40</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6842390765705019392-DogG" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of Boosting</a></p>
</card>
<card data-image="./assets/Day40.jpg">
<h1 slot="header">Day 41</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6842775280407453696-fQsZ" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of AdaBoost</a></p>
</card>
<card data-image="./assets/Day41.jpg">
<h1 slot="header">Day 42</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6843145215243616256-NYjj" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Announcement🎯🔥</a></p>
</card>
<card data-image="./assets/Day42.jpg">
<h1 slot="header">Day 43</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6843473395934486528-4c7o" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Indpeth Intuition of Gradient Boosting</a></p>
</card>
<card data-image="./assets/Day43.jpg">
<h1 slot="header">Day 44</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-odscapac-exploredatawithdivyanshu-activity-6843822035542667264-0OdG" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ✨ Data Science and Machine Learning at scale using Dask</a></p>
</card>
<card data-image="./assets/Day44.jpg">
<h1 slot="header">Day 45</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-dsinterviewtips-exploredatawithdivyanshu-activity-6844227190205362176-cHoa" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤔 Why XGBoost over any other gradient boosting algorithm</a></p>
</card>
<card data-image="./assets/Day45.jpg">
<h1 slot="header">Day 46</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6844587844292489216-QNhR" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👀 Indpeth intuition of stacking</a></p>
</card>
<card data-image="./assets/Day46.jpg">
<h1 slot="header">Day 47</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6844948965906087936-Ls8Z" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤷♂️ Grasping thoughts on Dimensionality Reduction</a></p>
</card>
<card data-image="./assets/Day47.jpg">
<h1 slot="header">Day 48</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6845318421698228224-wQVx" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Revisiting K-means 🚶</a></p>
</card>
<card data-image="./assets/Day48.jpg">
<h1 slot="header">Day 49</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6845674735611842560-hhgL" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👀 Indpeth intuition of Multilayer Perceptron</a></p>
</card>
<card data-image="./assets/Day49.jpg">
<h1 slot="header">Day 50</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6846033460117807104-jwXZ" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤔 Grasping thoughts about Backpropagation Algorithm</a></p>
</card>
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<h1 slot="header">Day 51</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6846407567393087488-5AhF" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👀 Activation Functions</a></p>
</card>
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<h1 slot="header">Day 52</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6846766522938093569-2jgr" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👀 Insights of Normalization</a></p>
</card>
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<h1 slot="header">Day 53</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6847131134548152320-KhUY" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤔 Why to choose Gradient Clipping while optimizing the model</a></p>
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<h1 slot="header">Day 54</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6847493818821038080-4QlC" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> AdaGrad(Adaptive Gradient)</a></p>
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<h1 slot="header">Day 55</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6847829164788191232-cXxA" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> RMSProp(Root Mean Square Propagation)</a></p>
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<card data-image="./assets/Day55.jpg">
<h1 slot="header">Day 56</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6848209518053216256-phPE" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤔Adam and Nadam Optimization is the best algorithm for optimization</a></p>
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<card data-image="./assets/Day56.jpg">
<h1 slot="header">Day 57</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6848568561754079232-SXAP" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👀 Intuition about CNN(Convolution Neural Network)</a></p>
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<card data-image="./assets/Day57.jpg">
<h1 slot="header">Day 58</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6848936113051189248-OI6I" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤔 Why Convolution Layers came into the picture</a></p>
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<card data-image="./assets/Day58.jpg">
<h1 slot="header">Day 59</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6849307492040753152-XjIC" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> Brief intro of Convolution</a></p>
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<h1 slot="header">Day 60</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6849656701474484224-ipNe" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🚣🏻♂️ Exploring LeNet5</a></p>
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<card data-image="./assets/Day60.jpg">
<h1 slot="header">Day 61</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6850025110154420224-s77O" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🚣🏻♂️ Exploring NLP</a></p>
</card>
<card data-image="./assets/Day61.jpg">
<h1 slot="header">Day 62</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6850362450072760320--ScW" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> ⚡ Intuition of Language Models</a></p>
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<card data-image="./assets/Day62.jpg">
<h1 slot="header">Day 63</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6850738806270898176-UDds" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 👀 Insights about Recurrent Neural Networks(RNN)</a></p>
</card>
<card data-image="./assets/Day63.jpg">
<h1 slot="header">Day 64</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6851110044151484416-CuBC" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 🤔 Why you need Attention</a></p>
</card>
<card data-image="./assets/Day64.jpg">
<h1 slot="header">Day 65</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_gist-of-transformer-activity-6851390968369954816-67Tq" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Deep Diving into the architecture of Transformer</a></p>
</card>
<card data-image="./assets/Day65.jpg">
<h1 slot="header">Day 66</h1>
<p slot="content"><a href="https://www.linkedin.com/posts/divyanshuusingh_66daysofdata-exploredatawithdivyanshu-ai-activity-6851819403584135168-QulT" target="_blank"><i class="fa fa-external-link" aria-hidden="true"></i> 💡 Intro to GNN(Graph Neural Networks).</a></p>
</card>
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