Lasso Regression, Regression, Machine Learning, Data Science, Regularization.
many features and the number of observations is small. It can help to reduce the dimensionality of the data by shrinking or eliminating some of the coefficients of the model. Feature selection: Lasso regression is also useful when you want to select a subset of features to include in the model.