Implement Ridge Regularization

[Cotidie]

AS-IS

Without regularization, it's highly likely to be over-fitted as the dimension of the feature space grows (ref. the curse of dimension). Adding a regularization term on top of error function not only pushes the error function towards the origin, but also makes it rounder, resulting in smoother regression functions.

TO-BE

• Implement Ridge Regularization