| # data normalization with sklearn | |
| from sklearn.preprocessing import MinMaxScaler | |
| # fit scaler on training data | |
| norm = MinMaxScaler().fit(X_train) | |
| # transform training data | |
| X_train_norm = norm.transform(X_train) | |
| # transform testing dataabs | |
| X_test_norm = norm.transform(X_test) |
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