Which of the following statements are true?
I. L1 and L2 regularization are the techniques to reduce the model complexity and prevent overfitting.
II. L1 regularization not only helps in reducing the overfitting but can help in feature selection also.
III. L2 regularization shrinks the coefficient, and it helps to reduce the model complexity and multi - collinearity.