three_types_of_numeric_scaling

nb.ipynb

import pandas as pd
import seaborn as sns

diamonds = sns.load_dataset("diamonds")
diamonds.x.hist();

from sklearn.preprocessing import StandardScaler

ss = StandardScaler()

diamonds['x'] = ss.fit_transform(diamonds[['x']])
diamonds['x'].hist();

nb.ipynb

diamonds['price'].hist();

from sklearn.preprocessing import PowerTransformer

pt = PowerTransformer()

diamonds['price'] = pt.fit_transform(diamonds[['price']])
diamonds['price'].hist();