Normalize entire data set to perform better and have better results for certain classifiers such as SVM or Neural Network.
from sklearn import preprocessing as sk_preprocessing
scaler = sk_preprocessing.StandardScaler()
scaler.fit(DF_X_training)
DF_NORM_X_training = scaler.transform(DF_X_training)
DF_NORM_X_testing = scaler.transform(DF_X_testing)
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