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Arindam-GitH / FraudGuard-ML

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A comprehensive machine learning project for detecting fraudulent payment transactions. Features 50,000 synthetic transactions, 4 ML models (Random Forest, XGBoost, LightGBM, CatBoost), 8 data visualizations, and SMOTE for handling class imbalance. Perfect for financial institutions and data scientists working on fraud detection systems.

python data-science machine-learning random-forest xgboost lightgbm fraud-detection catboost payment-security
  • Updated Apr 12, 2025
  • Python

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