Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)

In this python machine learning tutorial for beginners we will look into, 1) how to hyper tune machine learning model paramers 2) choose best model for given machine learning problem We will start by comparing traditional train_test_split approach with k fold cross validation. Then we will see how GridSearchCV helps run K Fold cross validation with its convenient api. GridSearchCV helps find best parameters that gives maximum performance. RandomizedSearchCV is another class in sklearn library that does sam