kurtispykes/fraud-detection-project
A mono-repository containing a packaged machine learning model and simple REST API.
This project helps financial institutions and e-commerce companies improve their fraud detection systems. It takes customer transaction data as input and outputs predictions indicating which transactions are likely fraudulent. Risk analysts and fraud prevention teams can use this tool to identify and flag suspicious activities more effectively.
No commits in the last 6 months.
Use this if you need a pre-packaged machine learning model and a simple API to quickly integrate transaction fraud detection capabilities into your existing systems.
Not ideal if you're looking for an out-of-the-box, no-code solution for real-time fraud prevention that handles data ingestion and system integration automatically.
Stars
14
Forks
9
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 22, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/kurtispykes/fraud-detection-project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Nneji123/Credit-Card-Fraud-Detection
Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.
sunnynguyen-ai/fraud-detection-system
Real-time fraud detection system using ensemble ML models, featuring streaming data processing,...
ISE-S46/CCFD
A real-time credit card fraud detection system built with PySpark MLlib that processes...
luisgamer05/fraud-detection-system
🛡️ Build a robust fraud detection system with ensemble machine learning models for real-time...
MohitGupta0123/Fraud_Detection_MLOps
End-to-end Fraud Detection MLOps pipeline integrating MLflow, FastAPI, Streamlit, Docker,...