# Fit the scaler on the training data from sklearn.preprocessing import StandardScaler scaler = StandardScaler() scaler.fit(df_train) features = df_train.columns # Scale the training, test, and validation sets features = df_train.columns df_train[features] = scaler.transform(df_train[features]) df_val[features] = scaler.transform(df_val[features]) df_test[features] = scaler.transform(df_test[features]) df_train.head()
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