Data Science, Machine Learning, Regression, Data Analysis, Statistics.
the most relevant features. Ridge Regression (L2 Regularization) How It Works: Ridge adds a penalty equal to the square of the magnitude of the coefficients. The penalty term in Ridge is λ∑(β_i²). Unlike Lasso, Ridge does not set coefficients to zero but shrinks them. It’s particularly effective