XGBoost fraud detection pipeline with advanced feature engineering for IEEE-CIS, focusing on cardholder UID, D‑column normalization, and group aggregations.
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Updated
Mar 21, 2026 - Python
XGBoost fraud detection pipeline with advanced feature engineering for IEEE-CIS, focusing on cardholder UID, D‑column normalization, and group aggregations.
ML model to predict the probability of fraudulent online transactions — based on the IEEE-CIS Fraud Detection Kaggle competition using real-world e-commerce data from Vesta Corporation.
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