Data Science, Machine Learning, Regression, Data Analysis, Statistics.
Regularization Method Feature Relevance: Lasso: When you suspect only a subset of features are important. Ridge: When you expect most features to contribute to the outcome,. Multicollinearity: Lasso: Can fail if features are highly correlated. Ridge: Performs well in the presence of