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chapters/ridge-regression.md

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 Ridge Regression is a **regularization** method used in **Supervised Learning**. It uses **L2 regularization** to prevent overfitting by adding a penalty term to the loss function. This penalty term limits the magnitude of the coefficients in the regression model, which can help prevent overfitting and improve generalization performance.
 
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 ## Ridge Regression: Introduction