Python Feature Engineering Cookbook

How to do it...

Let's begin by importing the necessary libraries:

1. Import the required Python libraries and modules:

import pandas as pdimport matplotlib.pyplot as plt

2. Load the Boston House Prices dataset from scikit-learn:

from sklearn.datasets import load_bostonboston_dataset = load_boston()boston = pd.DataFrame(boston_dataset.data,         columns=boston_dataset.feature_names)

3. Visualize the variable distribution with histograms: 

boston.hist(bins=30, figsize=(12,12), density=True)plt.show()

The output of the preceding code is shown in the following screenshot:

Most of the numerical variables in the dataset are skewed.