from sklearn.pipeline import Pipeline

# Chain preprocessing and modeling
pipeline = Pipeline([
    ('scaler', StandardScaler()),
    ('model', RandomForestRegressor())
])

pipeline.fit(X_train, y_train)  # Scaling and training in one step