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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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