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ML / INTERMEDIATE

Loan Eligibility Prediction

Evaluate a model using synthetic data. Document bias, fairness and limitations. This is an educational exercise and must not be used for real lending decisions.

The project brief

Evaluate a model using synthetic data. Document bias, fairness and limitations. This is an educational exercise and must not be used for real lending decisions.

PythonScikit-learnStatistics

What you’ll deliver

  • A documented repository or workbook
  • An explanation of your decisions and limitations
  • A concise portfolio case study

How to approach it

  1. Define your question and success criteria.
  2. Choose public or synthetic data with appropriate permissions.
  3. Build a small, reproducible first version.
  4. Evaluate results and document limitations.
  5. Write a case study explaining your decisions.
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