Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
unstable coefficient estimates and strange results. Both Lasso and Ridge Regression handle multicollinearity better due to their penalty terms, distributing the influence among the correlated features. Interpretability: Linear Regression, without any penalty term or feature selection, can often be