This example model is based on the UCI Taiwan Credit dataset. With this dataset, we use a binary classifier for predicting credit default risk from various attributes about payment information and customer demographics.
You'll need a Python environment in which you can run the credit_card_default.ipynb Jupyter Notebook. If you're new to
Jupyter consider uploading this example folder to Google Colab and running it
from there, or you can install JupyterLab
in your Python environment.