Data Science, Machine Learning, Regression, Data Analysis, Statistics.
more stable and can maintain a balance between feature elimination and coefficient shrinkage. Example Scenario: Consider a dataset with many features, some of which are correlated. Using Lasso alone might lead to arbitrary selection among the correlated features, while Ridge might keep them all but