Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
and variance. By introducing the regularization term, it increases the bias slightly but reduces the variance. This can lead to better generalization performance in some cases. However, Ridge Regression also has some limitations: 1. Lack of coefficient interpretability: The regularization in Ridge