Python Feature Engineering Cookbook

How to do it...

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

1. Import the required Python libraries and classes:

import numpy as npimport pandas as pdfrom sklearn.datasets import load_bostonfrom sklearn.preprocessing import FunctionTransformerfrom feature_engine.variable_transformers import PowerTransformer

2. Let's load the Boston House Prices dataset into a pandas dataframe:

boston_dataset = load_boston()data = pd.DataFrame(boston_dataset.data, columns=boston_dataset.feature_names)

Now, we need to perform power transformations using NumPy.

3. First, let's make a copy of the original dataframe using pandas copy() so that we can modify the values in the copy and not in the original dataframe, which we need for the rest ...