To minimize the error, we need to minimize the Linear Regression Cost Function. Lesser the cost function, better the learning, more accurate will be the predictions. Learn With Jay.

To recap, linear ridge regression is essentially standard linear regression with L2 regularization added to prevent huge model coefficient values that can cause model overfitting. The weakness of ...