About this document

Credit Card Fraud Detection with ML by GiuseppeLegrottaglie is a document available to read on EtoBox.

This document discusses performance evaluations of machine learning algorithms for credit card fraud detection. It explores both supervised and unsupervised learning algorithms applied to an imbalanced credit card transaction dataset. Random forest, neural networks, and deep learning are some supervised learning algorithms explored. Unsupervised learning algorithms are also tested as they can better handle skewed data. The goal is to accurately classify fraudulent transactions to help credit card companies

Author

GiuseppeLegrottaglie

Language

EN