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machone-learning

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Machine-learning capstone comparing models for facial deepfake detection. Built in Python and evaluated using cross-validation, AUC, F1-score, precision, and recall. Applied SHAP for model interpretability and deployed an interactive Streamlit demo. Full source code is available on GitHub.

  • Updated Aug 18, 2026
  • Jupyter Notebook

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