5 Key Points - Ridge Regression | Part 4 | Regularized Linear Models

In the final part of our Ridge Regression series we highlight 5 key points to solidify your understanding. Explore the essential takeaways that encapsulate the power and benefits of Ridge Regression, a valuable tool in the realm of regularized linear models.

Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day55-regularized-linear-models

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⌚Time Stamps⌚

00:00 - Intro
00:46 - 5 Key Understandings about Ridge Regression
02:11 - How the coefficients get affected?
06:20 - Higher Values are impacted more
10:26 - Impact on Bias variance TradeOff
18:18 - Effect on the Loss Function
25:05 - Why Ridge Regression is called so?
29:23 - A Pratical Tip Apply Ridge Regression