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     <title>blogsbykush</title>
     <link href="https://blogsbykush.com//atom.xml" rel="self"/>
     <id>https://blogsbykush.com/</id>
     <updated>2025-09-16T08:39:45+00:00</updated>

     <author>
       <name>Kush Bhatnagar</name>
       <uri/>
       <email/>
     </author>

 
 <entry>
   <title>Statistics in ML</title>
   <link href="https://blogsbykush.com//ml-made-easy/statistics-in-ml/"/>
   <id>https://blogsbykush.com//ml-made-easy/statistics-in-ml</id>
   <updated>2025-09-16T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/StatisticsInML-1.png" alt="StatisticsInML-1" class="align-center" /&gt;
&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/StatisticsInML-2.png" alt="StatisticsInML-2" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Machine Learning is just Statistics on steroids with a fancy computer doing the heavy lifting&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>What is Clustering</title>
   <link href="https://blogsbykush.com//ml-made-easy/what-is-clustering/"/>
   <id>https://blogsbykush.com//ml-made-easy/what-is-clustering</id>
   <updated>2025-09-01T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/Clustering_1.png" alt="WhatIsClustering" class="align-center" /&gt;
&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/Clustering_2.png" alt="WhatIsClustering" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Discover the essentials of Clustering in our latest classroom conversation.Clustering - where data points find their natural friend groups!&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>What is Bias and Variance</title>
   <link href="https://blogsbykush.com//ml-made-easy/what-is-bias-and-variance/"/>
   <id>https://blogsbykush.com//ml-made-easy/what-is-bias-and-variance</id>
   <updated>2025-08-16T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/Bias&amp;amp;Variance_1.png" alt="WhatIsBias&amp;amp;Variance" class="align-center" /&gt;
&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/Bias&amp;amp;Variance_2.png" alt="WhatIsBias&amp;amp;Variance" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Discover the essentials of Bias &amp;amp; Variance in our latest classroom conversation.Good predictions need to be both accurate (hit the target) and consistent (hit the same spot)!&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>What is Regularization</title>
   <link href="https://blogsbykush.com//ml-made-easy/what-is-regularization/"/>
   <id>https://blogsbykush.com//ml-made-easy/what-is-regularization</id>
   <updated>2025-08-14T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/Regularization_1.png" alt="WhatIsRegularization" class="align-center" /&gt;
&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/Regularization_2.png" alt="WhatIsRegularization" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Discover the essentials of Regularization in our latest classroom conversation.&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>Why AWS Lambda with DVC is not a best choice for Data Versioning Pipeline</title>
   <link href="https://blogsbykush.com//mlops/why-dvc-not-best-choice-with-awslambda-for-dataversioning/"/>
   <id>https://blogsbykush.com//mlops/ why-dvc-not-best-choice-with-awslambda-for-dataversioning</id>
   <updated>2024-06-17T00:00:00+00:00</updated>
   <content type="html">&lt;h1 id="introduction"&gt;Introduction&lt;/h1&gt; &lt;p&gt;Data versioning is a crucial aspect of machine learning workflows, ensuring that data changes are tracked and reproducible. Data Version Control (DVC) is a popular tool for this purpose, providing a way to version data similarly to how Git versions code.&lt;/p&gt; &lt;p&gt;In this blog, I want to share...</content>
 </entry>
 
 <entry>
   <title>What is Feature Engineering</title>
   <link href="https://blogsbykush.com//ml-made-easy/what-is-feature-engineering/"/>
   <id>https://blogsbykush.com//ml-made-easy/what-is-feature-engineering </id>
   <updated>2024-06-09T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/FeatureEngineering.png" alt="WhatIsGradientDescent" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Discover the essentials of Feature Engineering in our latest classroom conversation. Learn how to convert raw data into meaningful features to boost your machine learning models’ performance. Explore our detailed comic strip for a simplified and engaging explanation.&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>Psychology of Money - My Perspective and Key Takeaways</title>
   <link href="https://blogsbykush.com//bookshelf/psychology-of-money-bookshelf/"/>
   <id>https://blogsbykush.com//bookshelf/psychology-of-money-bookshelf</id>
   <updated>2024-05-20T00:00:00+00:00</updated>
   <content type="html">&lt;h2 id="my-reasons"&gt;My Reasons&lt;/h2&gt; &lt;p&gt;&lt;strong&gt;Psychology of Money&lt;/strong&gt; by Morgan Housel is an international bestseller. I recently read this book after it was recommended by James Clear in his book “Atomic Habits.” Though I’ve always wanted to learn more about finance and money, I never got around to it. So, I picked...</content>
 </entry>
 
 <entry>
   <title>What is Gradient Descent</title>
   <link href="https://blogsbykush.com//ml-made-easy/what-is-gradient-descent/"/>
   <id>https://blogsbykush.com//ml-made-easy/what-is-gradient-descent</id>
   <updated>2023-12-15T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/WhatIsGradientDescent.png" alt="WhatIsGradientDescent" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Discover the essence of Gradient Descent in machine learning through a conversation between a student and a teacher.&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>What is Hyperparameters</title>
   <link href="https://blogsbykush.com//ml-made-easy/what-is-hyperparameters/"/>
   <id>https://blogsbykush.com//ml-made-easy/what-is-hyperparameters</id>
   <updated>2023-11-29T00:00:00+00:00</updated>
   <content type="html">&lt;p&gt;&lt;img src="https://blogsbykush.com//assets/images/ml-made-easy/WhatIsHyperparameters.png" alt="WhatIsCV" class="align-center" /&gt;&lt;/p&gt;

&lt;blockquote class="notice--info"&gt;
  &lt;p&gt;Discover the essence of hyperparameters in machine learning through a conversation between a student and a teacher.&lt;/p&gt;
&lt;/blockquote&gt;
</content>
 </entry>
 
 <entry>
   <title>What is the most effective way to learn Machine Learning</title>
   <link href="https://blogsbykush.com//what-is-the-most-effective-way-to-learn-ml/"/>
   <id>https://blogsbykush.com// what-is-the-most-effective-way-to-learn-ml</id>
   <updated>2023-10-29T00:00:00+00:00</updated>
   <content type="html">&lt;h1 id="introduction"&gt;Introduction&lt;/h1&gt; &lt;figure&gt; &lt;a&gt;&lt;img src="/assets/images/learn_ml.jpg" /&gt;&lt;/a&gt; &lt;figcaption&gt;&lt;a href="https://www.istockphoto.com/photos/machine-learning"&gt;Originally posted on istockphoto&lt;/a&gt;.&lt;/figcaption&gt; &lt;/figure&gt; &lt;p&gt;Before you start reading this post, I’d like to offer a &lt;em&gt;disclaimer: I’m not an expert in this field&lt;/em&gt;. I’m here to share my learning journey with the hope that it might help others embarking on this fascinating...</content>
 </entry>
 

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