Master Ridge Regression: Prevent Overfitting in Machine Learning
October 7, 2025Introduction Ridge regression is a powerful technique in machine learning designed to prevent overfitting by applying an L2 penalty to model coefficients. This method helps stabilize coefficient estimates, especially when dealing with multicollinearity, by shrinking their values while retaining all features. Unlike Lasso regression, which performs feature selection, Ridge regression maintains all predictors and balances […]