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balance_std_scale.fit_transform(numeric_df[['balance']]) #extract categoric features X_categoric = df.iloc[:, [1,2,3,4,6,7]].values #onehotencoding ohe = OneHotEncoder() categoric_data = ohe.fit_transform(X_categoric).toarray() categoric_df = pd.DataFrame(categoric_data) categoric_df.columns =