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from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
# Split the data - 75% train, 25% test
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25,
random_state=1)
# Scale the X data
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)
X_test = scaler.transform(X_test)
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