In this video, we will be discussing the regularization with regards to how it works with the Linear Regression (ordinary least squares) machine learning algorithm. We will cover ridge and lasso regression (l1 and l2 regularization). This is a comprehensive video that will cover everything from explaining what a ridge and lasso regression model is to how to implement the models in Python. We will even discuss when to use each model.
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The agenda for this video is as follows:
What is a regularization?
How does regularization, ridge regression (l2 regularization), and lasso regression (l1 regularization) work?
Lasso vs. Ridge regression
How to implement a lasso and ridge regression in Python?
Regularization Use Cases
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