Overfitting, Underfitting, Overfitting Underfitting, Regularization, Dropout.
reduce overfitting by adding extra information or adding a penalty to the cost function to push weight toward zero. Types: 1. Lasso (L1) Regularization: Gives penalty equal to the sum of absolute weight value Robust to outliers Shrink the slope to zero # implementing using sklearn from