![Regularization in ML explained simply | Lasso (L1) and Ridge (L2) | Foundations for ML [Lecture 27] Update](https://i.ytimg.com/vi/VNrdslReSZU/mqdefault.jpg)
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Notes:- robosathi.com/docs/machine_learning/supervised/logistic_regression/ Sebastian's books: sebastianraschka.com/books/ Slides: ... Resources: This video is a part of my course: Modern Edureka Data Scientist Course Master Program: ... This part of the lecture finally finishes the discussion of the Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... In this video, we talk about the L1 and A 9th-order polynomial passes through all ten readings of a cheap thermometer with zero error, and claims it was almost 32 °C ...
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