Mastering Regression: A Data Science 101 Guide

In this video, we'll be diving into the world of regression analysis in data science. We'll start by covering the basics of linear regression, including how to fit a model, interpret the coefficients, and evaluate the model's performance. Next, we'll explore two popular techniques for regularizing linear regression models: ridge and lasso regression. We'll see how these techniques can help improve the performance of linear regression models by reducing overfitting and improving interpretability. Finally, we'll introduce elastic net regression, which is a combination of ridge and lasso regression. By the end of the video, you'll have a solid understanding of these different types of regression and how to use them in your data science projects.

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