Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
by applying a penalty to the Residual Sum of Squares[1]. In the regularized version of OLS, you’re trying to find the coefficients that minimize: The shrinkage penalty is the product of a tuning parameter and regression coefficients, so it will get smaller as the regression coefficient portion of