Lasso Regression, Ridge Regression, L1 Regularization, L2 Regularization.
Features Matter: When it’s important to retain all features, Ridge is a suitable choice as it doesn’t force coefficients to zero. Choosing Between Lasso and Ridge The choice between Lasso and Ridge depends on the specific characteristics of the dataset and the goals of the modeling task: Lasso: