Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
Regularization is an approach for ensuring that models do not become too large or complex, and it is particularly useful when there is a considerable number of highly correlated features. Regularization techniques including:
A
Ridge regression.
B
LASSO.
C
A hybrid of the Ridge regression and LASSO.
D
All the above.
