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from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
# Define sequential stages of your model
stages = [('scale',StandardScaler()),
('polynomial',PolynomialFeatures(degree = 4)),
('mode',LinearRegression()]
# Construct the pipeline
pipeline = Pipeline(stages)
# Train
pipeline.fit(X_Train, y)
# Predict
predicted_y = pipeline.predict(X_Test)