Overfitting in Linear Regression can be handled by using regularization techniques.

• Regularization techniques like Ridge regression and Lasso regression can help in reducing overfitting.

• Cross-validatio...read more

Regularization (both L1 and L2)Early StoppingFeature Selection, by removing irrelevant input variables, making use of domain knowledge.Feature selection can also be implemented, by simply adding a col...read more