Scaler

from sklearn.preprocessing import MinMaxScaler, StandardScaler
 
mm_scaler = MinMaxScaler()
st_scaler = StandardScaler()

• fit
• fit_transform ⇐ fit + transform
• transform

train['MM_fnlwgt'] = mm_scaler.fit_transform(train['fnlwgt'].values.reshape(-1,1))
test['MM_fnlwgt'] = mm_scaler.transform(train['fnlwgt'].values.reshape(-1,1))

train['MM_age'] = mm_scaler.fit_transform(train['age'].values.reshape(-1,1))
test['MM_age'] = mm_scaler.transform(train['age'].values.reshape(-1,1))

train['ST_fnlwgt'] = mm_scaler.fit_transform(train['fnlwgt'].values.reshape(-1,1))
test['ST_fnlwgt'] = mm_scaler.transform(train['fnlwgt'].values.reshape(-1,1))

train['ST_age'] = mm_scaler.fit_transform(train['age'].values.reshape(-1,1))
test['ST_age'] = mm_scaler.transform(train['age'].values.reshape(-1,1))