ridge-regression

Description: Ridge regression adds L2 regularization to [[Linear Regression]] to handle multicollinearity and prevent overfitting.

Key Points:

• Shrinks coefficients to reduce overfitting.
• Handles multicollinearity well.
• Requires tuning of the [[Data Science/Regularization]] parameter.

Applications: Economic forecasting, portfolio optimization, marketing analysis.