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.
feature-engineering machine-learning-models graph-attention-networks data-preprocessing-and-cleaning imbalanced-data-handling model-evaluation-and-metrics smote-sampling-technique classification-report-analysis ensemble-learning-with-xgboost
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Updated
May 1, 2025 - Jupyter Notebook