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roc-curve

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Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.

  • Updated Oct 21, 2025
  • Python

End-to-end tabular ML pipeline: example dataset + single script to train and evaluate all models, SHAP explainability, and cross-model consistency analysis.

  • Updated Dec 4, 2025
  • Python

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