Ridge Regression and Lasso Regression: A Beginner’s Guide

<h2>Ridge Regression</h2> <p>Ridge regression is a type of regularized regression model. This means it is a variation of the standard linear regression model that includes a regularized term in the cost function. The purpose of this is to prevent Overfitting. Ridge Regression adds an L2 regularization term to the linear equation. That&rsquo;s why it is also known as&nbsp;<strong>L2 Regularization</strong>&nbsp;or&nbsp;<strong>L2 Norm</strong>.</p> <p><em>The main aim of Ridge Regression is to reduce Overfitting.</em></p> <h2>Graphical Intuition of Ridge Regression</h2> <p>Let&rsquo;s say we built a linear regression model with the best-fit line passing through all the train data points.</p> <p><a href="https://medium.com/@devsachin0879/ridge-regression-and-lasso-regression-a-beginners-guide-b3e33c77678"><strong>Read More</strong></a></p>