nafisalawalidris/Fraud-Detection-with-Supervised-Learning
This repository contains a basic fraud detection system utilising supervised learning techniques to identify potentially fraudulent credit card transactions. The project establishes a baseline model that addresses the challenges of credit card fraud in financial institutions.
This project helps financial institutions and fraud analysts quickly identify potentially fraudulent credit card transactions. You provide transaction data, and it outputs a prediction of whether the transaction is fraudulent, along with a probability score. This is ideal for risk management teams, compliance officers, and data analysts working in banking or fintech.
No commits in the last 6 months.
Use this if you need a foundational, automated system to flag suspicious credit card activity from incoming transaction data.
Not ideal if you require an extremely sophisticated, real-time fraud prevention system with advanced anomaly detection beyond supervised learning.
Stars
8
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nafisalawalidris/Fraud-Detection-with-Supervised-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/fraudfinder
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on...
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
jube-home/aml-fraud-transaction-monitoring
Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for...