Scale Data Using Standard Scaler in Sklearn
Python
1| from sklearn.preprocessing import StandardScaler 2| 3| #Initalise standard scaler 4| scaler = StandardScaler() 5| 6| #Fit the scaler using X_train data 7| scaler.fit(X_train) 8| 9| #Transform X_train and X_test using the scaler and convert back to DataFrame 10| X_train = pd.DataFrame(scaler.transform(X_train), columns = X_train.columns) 11| X_test = pd.DataFrame(scaler.transform(X_test), columns = X_test.columns)
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