| from sklearn.preprocessing import StandardScaler | |
| def scale_features(X_train, X_test): | |
| """ | |
| Scale features using StandardScaler. | |
| Args: | |
| X_train (pd.DataFrame): Training features. | |
| X_test (pd.DataFrame): Testing features. | |
| Returns: | |
| X_train_scaled, X_test_scaled: Scaled features. | |
| """ | |
| scaler = StandardScaler() | |
| X_train_scaled = scaler.fit_transform(X_train) | |
| X_test_scaled = scaler.transform(X_test) | |
| return X_train_scaled, X_test_scaled | |