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What is Credit Card Fraud Detection with ML about?

This document discusses the application of machine learning techniques for credit card fraud detection, emphasizing the importance of data-driven approaches to identify fraudulent transactions. It outlines the methodology, including data preprocessing, feature selection, model training, and performance metrics, highlighting the challenges posed by class imbalance. The findings suggest that ensemble methods like XGBoost and Random Forest are effective in achieving high accuracy while maintaining interpretabi

Author

Nausin Khan

Language

EN