Data Science, Machine Learning, Regression, Data Analysis, Statistics.
where multicollinearity is a concern or when a balance between feature selection and regularization is desired. It provides a middle ground between Lasso’s feature selection capabilities and Ridge’s stability and performance in the presence of correlated predictors. Below is a simple example in