Rpita623/Detecting-Credit-Card-Fraud
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
This project helps financial institutions and payment processors automatically identify suspicious credit card transactions. It takes raw transaction data and uses machine learning to classify each transaction as either fraudulent or legitimate. This tool is for risk managers, fraud analysts, and operations teams needing to quickly flag potential fraud.
No commits in the last 6 months.
Use this if you need to build a system that automatically flags potentially fraudulent credit card transactions from a dataset of historical transactions.
Not ideal if you need a real-time, production-ready fraud detection system with high throughput and low latency, as this project focuses on model development.
Stars
22
Forks
10
Language
R
License
—
Category
Last pushed
Nov 04, 2021
Commits (30d)
0
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