Credit Card Fraud Detection Using Machine Learning: An AI-Driven Approach for Financial Security

Mon, 01 Jun 2026 13:00:00 +0000

This presentation explains how supervised machine-learning models can support fraud detection in highly imbalanced financial datasets, with emphasis on recall, explainability, and operational security value.

AI Credit Card Fraud Detection

Sun, 01 Jun 2025 00:00:00 +0000

Built an applied fraud-detection workflow for anonymized card transaction data, with preprocessing, class-imbalance correction, model comparison, and security-focused evaluation metrics.

The project compares logistic regression, random forest, XGBoost, and neural models using recall, precision, F1 score, and ROC-AUC so the result is judged by fraud-catching usefulness instead of accuracy alone.

XGBoost | Joshua Seyi Ibitoye

Credit Card Fraud Detection Using Machine Learning: An AI-Driven Approach for Financial Security

AI Credit Card Fraud Detection