Ridge & Lasso Regression | Python + SciKit Learn [Regularization] скачать в хорошем качестве

Ridge & Lasso Regression | Python + SciKit Learn [Regularization]

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. Follow Revernos for more machine learning content! 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 Revernos is a technology channel that covers a wide range of topics including, but not limited to, machine learning, cloud computing (Amazon Web Services), programming (Python), financial engineering, physical computing (Raspberry Pi), artificial intelligence, data analytics, and more! Please subscribe and click the notification bell so you don’t miss an upload! Leave a comment letting us know what kind of video you would like to see in the future!