Python Feature Engineering Cookbook

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 npimport pandas as pdfrom sklearn.datasets import load_bostonfrom sklearn.preprocessing import FunctionTransformer

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, let's make a square root transformation using NumPy.

3. First, let's make a copy of the original dataframe using pandas copy():

data_tf = data.copy()

4. Let's apply the square root transformation with NumPy to a group of variables and capture it in the new dataframe:

data_tf[['LSTAT', 'NOX', ...