Lasso Regression, Regression, Machine Learning, Data Science, Regularization.
This is in contrast to Ridge Regression, which shrinks the coefficients but never to zero. Lasso regression is particularly useful in high-dimensional settings, where there are many features and the number of observations is small. It is also useful when you want to select a subset of features to