5. Feature Scaling.md

###normalized scaler (fit transform on train, fit only on test)
#n_scaler = MinMaxScaler()
#X_train = n_scaler.fit_transform(X_train.astype(np.float))
#X_test= n_scaler.transform(X_test.astype(np.float))


#standard scaler (fit transform on train, fit only on test)
s_scaler = StandardScaler()
X_train = s_scaler.fit_transform(X_train.astype(np.float))
X_test= s_scaler.transform(X_test.astype(np.float))