About • Workflow Stages • Techs • License
This notebook is a form to practice my knowledge in data science, mostly with the AutoML using PyCaret library in Python. It walks us through a workflow for solving a problem with credit using a comparing different models for the same dataset.
The main purpose of this notebook is to serve as a step-by-step workflow guide, allowing me to review this notebook myself and serve as a study for future cases.
This notebook was developed within the Google Colaboratory environment.
- Install;
- Data pre-processing;
- Setup PyCaret;
- Comparing Models;
- Evaluate Model;
The following tools were used in the development of the project:
This project is under the license MIT.
Made with ❤️ by Matheus Pereira 👋🏽 Get in Touch!