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Bankruptcy Prediction Project

Description

This project analyzes factors leading to bank bankruptcy using machine learning techniques.

Technologies Used

  • Python
  • Pandas, NumPy, Scikit-learn
  • Matplotlib, Seaborn

How to Use

  1. Clone this repository.
  2. Install dependencies: pip install -r requirements.txt.
  3. Run the main script: python main.py.

Results

  • Achieved 85% accuracy in predicting bankruptcy risk.
  • Key factors: Liquidity ratios, macroeconomic conditions.

License

MIT License

About

Bankruptcy Prediction: A machine learning project using Python. Skills applied include Time Series Analysis, Data Visualization (Matplotlib), and Machine Learning (Classification, Linear Regression).

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