Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
multicollinearity well. Multicollinearity, a situation where two or more features are highly correlated, can make the model’s estimates less reliable. Overfitting and Underfitting: Linear regression can overfit with many input features and underfit if the relationship is complex and non-linear.