Ameya Shanbhag

chatGPT

How machine learning detects credit card fraud

Machine learning (ML) enhances credit card fraud detection by analyzing transaction data for patterns and anomalies. Unlike traditional rule-based systems, ML adapts continuously, identifying even subtle fraud patterns in real time. The implementation involves collecting and preprocessing data, feature engineering, and model training. ML models, trained with supervised and unsupervised techniques, significantly improve fraud detection accuracy, offering real-time and adaptive protection against evolving fraud tactics.