Lasso Regression, Ridge Regression, L1 Regularization, L2 Regularization.
sparsity. High-Dimensional Data: When dealing with datasets with many features, Lasso helps prevent overfitting and focuses on the most influential variables. Ridge Regression: Multicollinearity: Ridge is useful when multicollinearity (high correlation among features) is present in the data. All