# 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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