Binary Classification Project

Dataset Disclaimer

This project uses the German Credit dataset provided by:

Professor Dr. Hans Hofmann.
Institut für Statistik und Ökonometrie
Universität Hamburg
FB Wirtschaftswissenschaften
Von-Melle-Park 5
2000 Hamburg 13

Description

This project was undertaken as part of the Data Science course at the Faculty of Engineering, UADY. The goal is to explore various machine learning models for binary prediction. The dataset was split into training and testing set, with an additional validation set used to assess the performance of the best model identified during the training and testing phases.

Project Structure

.
├── main.ipynb
├──requirements.txt
└── data
├── training_test
│ ├── german_train_test.txt
└── validation
└── german_validation.txt

Requirements

• Python 3.7 or higher
• Required packages: pandas, scikit-learn, matplotlib, seaborn, numpy

How to Run

1. Install the required dependencies using pip install -r requirements.txt.
2. Open and run the main.ipynb Jupyter notebook.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project Status

Project completed. All planned features have been implemented, and development is now finished. Feel free to give feedback or suggestions you may have. Thank you for your interest and support!