Lasso Regression, Regression, Machine Learning, Data Science, Regularization.
Since it tends to shrink the coefficient of less important features to zero, it can be used as a feature selection method. Linearity assumption: Lasso regression is based on the assumption that the relationship between the features and the response variable is linear. It can be used when this