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Team Gort: Bankruptcy Prediction Project

Team Members:

  • Giovanny Teran
  • Jayden Younes
  • Vicente Rivera

Dataset Information

Dataset: Company Bankruptcy Prediction
Source: Kaggle Dataset

Data Overview

  • Features: 95 financial ratio features
  • Samples: 6,819 instances
  • Target Variable: Whether a company will go bankrupt
    • Binary classification: 0 = non-bankruptcy, 1 = bankruptcy

Business Problem

Financial institutions, investors, and creditors need reliable methods to assess the bankruptcy risk of companies they're considering investing in or extending credit to. By analyzing financial ratios and creating a predictive model, we can identify early warning signs of potential bankruptcy. This would allow stakeholders to:

  1. Make more informed investment decisions
  2. Adjust lending terms based on risk profiles
  3. Implement early intervention strategies for companies at risk
  4. Optimize portfolio management by balancing risk exposure

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Nueral networks final project repository. Team GORT

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