Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
decreases towards zero the coefficient but without be actually zero, Lasso favors sparsity. Using Lasso many coefficients will be decreased to zero, allowing you feature selections. If there are two or more highly collinear variables then Lasso selects one of them randomly (which is not good for