Financial Distress Prediction Project

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Summary

The model created in this project predicts (identifies) companies that are likely to default on commercial loans.

Software requirements

This project is created using python 2.7 and scikit-learn 0.20.1.

Installation Guide

To test this model:

1. clone this repository.

2. unzip the "financial-distress.zip" file.

3. move the "financial-distress.csv" file outside the working directory.

4. open the FinancialDistress.ipynb file using jupyter notebook.

Data Source

The dataset was provided by Ebrahimi on Kaggle's Financial Distress Prediction page.

Acknowledgements

I would like to thank Ebrahimi for making the data set publically available.

License

This project is shared under the MIT license.