Write code that brings all the values of sl and sw variables to the same scale using the StandardScaler library from the sklearn.preprocessing library: sl = data['sepal_length'] sw = data['sepal_width']

from sklearn.preprocessing import StandardScaler

st_scaler = StandardScaler()
sl = np.array(sl).reshape(-1, 1)
sw = np.array(sw).reshape(-1, 1)

sl = st_scaler.fit_transform(sl)
sw = st_scaler.fit_transform(sw)

print(sl)
print(sw)