Python Feature Engineering Cookbook

How to do it...

In this recipe, we will create new features by combining information, that is, variables about tumors, using multiple mathematical operations:

1. Let's begin by loading pandas and the dataset from scikit-learn:

import pandas as pdfrom sklearn.datasets import load_breast_cancer

2. Let's load the Breast Cancer dataset into a pandas dataframe:

data = load_breast_cancer()df = pd.DataFrame(data.data, columns=data.feature_names)df['target'] = data.target

Scikit-learn stores the data, feature names, and target in the data, feature_names, and target attributes, respectively. So, we need to reconstitute the dataset bit by bit.

In the following code lines, we will create new features using multiple mathematical operations across a subset ...