In this example, we use a dataset from the UCI ML repository on credit card defaults. This dataset contains the following information:
- Default payments
- Demographic factors
- Credit data
- History of payments
- Bill statements of credit card clients
The data and the data descriptions are provided in the GitHub folder:
We will start by loading the required libraries and reading our dataset:
import osimport numpy as npimport pandas as pdimport matplotlib.pyplot as plt%matplotlib inlineimport seaborn as sns
We set our working folder as follows:
# Set your working directory according to your requirementos.chdir(".../Chapter 6/Random Forest")os.getcwd()
Let's now read our data. We will prefix the DataFrame name with df_ so that we can ...
