Python

scaled_features = StandardScaler().fit_transform(df.values)
scaled_features_df = pd.DataFrame(scaled_features, index=df.index, columns=df.columns)

from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)

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