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<!---This consists articles and articles consist news loll-->
<!DOCTYPE HTML>
<html>
<head>
<title>Mukesh Manral - Ai(Articles+Letters)</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
</head>
<body class="is-preload">
<!-- Wrapper -->
<div id="wrapper">
<!-- Main -->
<div id="main">
<div class="inner">
<!-- Header -->
<header id="header">
<a href="index.html" class="logo"><strong>Mukesh Manral</strong>, ex-Data Science Specialist @ Guvi,IITM</a>
<ul class="icons">
<li><a href="https://www.linkedin.com/in/mukesh-manral" class="icon fa-linkedin"><span class="label">Linkedin</span></a></li>
<li><a href="https://github.com/MvMukesh" class="icon fa-github"><span class="label">Github</span></a></li>
<li><a href="https://www.youtube.com/@manralai" class="icon fa-youtube"><span class="label">Youtube</span></a></li>
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<li><a href="https://www.linkedin.com/newsletters/6872441622500585472/" class="icon fa-newspaper-o"><span class="label">NewsLetter</span></a></li>
</ul>
</header>
<!-- Content -->
<section>
<header class="main">
<h1>Ai <h4>(Articles+Letters)</h4></h1>
</header>
<hr class="major" />
<h2 id="20161118msexcelcn">Deriving Linear Regression - The Hidden Maths</h2>
<p>Tag: Machine Learning</p>
<div class="row">
<div class="col-4 col-12-medium">
<h5>Explore:</h5>
<p>
🔴What is the Objective of Linear Regression? <br>
🔴What best fit means? <br>
🔴Final Optimization Problem? <br>
🔴Linear Regression Regularization term? <br>
🔴Loss Function and Loss Minimization Perspetive of Linear Regression? <br>
🔴Special Point of Linear Regression!!
</p>
<h5>Points:</h5>
<p>
1. Decision Surface <br>
2. Assumptions <br>
3. Feature Importance & Model Interpretability <br>
4. If data is Imbalance <br>
5. If data contains outliers <br>
6. How to solve for outliers <br>
7. If data have missing values
</p>
</div>
<div class="col-4 col-12-medium">
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<img src="images/news/lin-fit.gif" alt="" />
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<!-- <span class="image fit">
<embed src="images/news/lin-reg.pdf" type="application/pdf" width="120%" height="400%"/>
</span> -->
</div>
</div>
<hr class="major" />
<h2 id="20190630phd">Master Imbalanced Datasets with this Industry-Grade Framework </h2>
<p>Tag: ML-Frameworks</p>
<div class="row">
<div class="col-8 col-12-medium">
<h4>Explore Industry-Grade Pipelines and Solutions</h4>
<p>
This is a framework for handling imbalanced datasets provides industry-grade pipelines and solutions to help you overcome the challenges of imbalanced data and improve the performance of your machine learning models
</p>
<h5>Points:</h5>
<p>
1. Identify Imbalanced Datasets <br>
2. Address the Imbalance <br>
3. Evaluate the results
</p>
</div>
<div class="col-4 col-12-medium">
<span class="image fit">
<img src="images/news/imbal.jpg" alt="" />
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<p class="copyright">Mukesh Manral © All rights reserved.<br/>
Updated On: <a>29-10-2023</a>.
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