Ridge Regression Explained with Example and Application
In the realm of statistical modeling and machine learning, linear regression stands as a foundational technique. However, traditional linear regression can stumble when faced with highly correlated predictor variables, a phenomenon known as multicollinearity. This can lead to unstable coefficient estimates and poor model generalization. Enter Ridge Regression, a powerful regularization technique designed to combat … Read more