$(5$ points points$)$ Which one is true?

A$.$ Ridge and Lasso regression are techniques to reduce the model complexity and prevent over$-$fitting which may result from simple linear regression.

B$.$ Ridge regression shrinks the coefficients and it helps to reduce multi$-$collinearity.

C$.$ Lasso regression not only helps in reducing over$-$fitting but can help us in feature selection.

D$.$ All of the above.