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Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.

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What is the intuition behind decreasing the slope when using regularization?

Please refer this article on L1 and L2 regularization :- https://towardsdatascience.com/intuitions-on-l1-and-l2-regularisation-235f2db4c261 L1 called as Lasso and L2 called as Ridge essentially reduces …
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