lasso-regression

Description: Lasso regression adds L1 [[Data Science/Regularization]] to [[Linear Regression]] to perform feature selection by shrinking some coefficients to zero.

Key Points:

• Performs feature selection.
• Can produce sparse models.
• Requires tuning of the regularization parameter.

Applications: Gene selection, model selection, finance.