Using square and cube root to transform variables

The square and cube root transformations are two specific forms of power transformations where the exponents are 1/2 and 1/3, respectively. In this recipe, we will implement square and cube root transformations using NumPy and scikit-learn.

The square root transformation is not defined for negative values, so make sure you only transform those variables whose values are >=0; otherwise, you will introduce NaN or receive an error message.

How to do it...

Let's begin by importing the necessary libraries and getting the dataset ready:

1. Import the required Python libraries and classes:

import numpy as np
import pandas as pd
from sklearn.datasets import load_boston
from sklearn...