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Regularization In Machine Learning.
Regularization In Machine Learning Table Of Contents: What Is Regularization? Types Of Regularization Techniques. L1 Regularization (Lasso Regularization). L2 Regularization (Ridge Regularization). Elastic Net Regularization. Why It Is Called Penalty? What Does The Penalty Do Comparison Of L1 and L2 Penalty How to Choose the Regularization Type? Effect of Regularization Parameter (𝜆) Can We Apply Regularization To All The Machine Learning Models ? (1) What Is Regularization? We need a regulator for our model to have control of the learning, we can have control to avoid overfitting of the model. Regularization in machine learning is a technique used to prevent
