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Regularization Part 1: Ridge (L2) Regression
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YouTubeStatQuest with Josh Starmer
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Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model to the training data. It can also help you solve unsolvable equations, and if that isn't bad to the bone, I don't know what is. This StatQuest follows up on the StatQuests on: Bias and Variance https://youtu.be ...
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