GitHub / nashish109 / smart-ecommerce-fraud-detection

AI-powered system to detect fraudulent transactions in e-commerce using machine learning. Includes data preprocessing, feature engineering, and classification models like Random Forest and XGBoost. Achieved high accuracy with interpretable results for real-time detection.

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PURL: pkg:github/nashish109/smart-ecommerce-fraud-detection

Topics: classification-report-analysis, data-preprocessing-and-cleaning, ensemble-learning-with-xgboost, feature-engineering, graph-attention-networks, imbalanced-data-handling, machine-learning-models, model-evaluation-and-metrics, smote-sampling-technique

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• Readme
• Dependencies