Python Feature Engineering Cookbook

How to do it...

Let's begin by importing the necessary Python libraries:

1. Import the required Python libraries:

import pandas as pdimport numpy as npimport matplotlib.pyplot as plt

2. Let's load a few categorical variables from the dataset:

cols = ['GENDER', 'RFA_2', 'MDMAUD_A', 'RFA_2', 'DOMAIN', 'RFA_15']data = pd.read_csv('cup98LRN.txt', usecols=cols)

3.  Let's replace the empty strings with NaN values and inspect the first five rows of the data:

data = data.replace(' ', np.nan)data.head()

After loading the data, this is what the output of head() looks like when we run it from a Jupyter Notebook:

4. Now, let's determine the number of unique ...