Overfitting, Underfitting, Overfitting Underfitting, Regularization, Dropout.
sklearn.linear_model import Lasso 2. Ridge (L2) Regularization: Gives penalty equal to the sum of square values of weights Sensitive to outliers Shrink the slope near to zero # implementing using sklearn from sklearn.linera_model import Ridge Note: when we apply L1 and L2 regularization to the cost