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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On this page of the site you can watch the video online Ridge & Lasso Regression | Python + SciKit Learn [Regularization] with a duration of hours minute second in good quality, which was uploaded by the user Revernos: the FinTech Channel. 30 September 2022, share the link with friends and acquaintances, this video has already been watched 867 times on youtube and it was liked by 17 viewers. Enjoy your viewing!