Which algorithms can be used for important variable selection?

• Ridge regression is preferred when you want to prevent overfitting and reduce the impact of correlated predictors while maintaining all predictors.
• Lasso regression is preferred when you want feature selection, as it tends to set some coefficients to exactly zero