georgymh/ml-fraud-detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
This project helps financial institutions and payment processors automatically identify suspicious credit card transactions. By inputting anonymized transaction data, it classifies each transaction as either legitimate or potentially fraudulent. This tool is designed for fraud analysts and risk management teams to enhance their detection capabilities.
271 stars. No commits in the last 6 months.
Use this if you need to implement or evaluate different machine learning models for detecting credit card fraud from transaction records.
Not ideal if you require real-time, production-ready fraud detection without further development or integration work.
Stars
271
Forks
120
Language
Jupyter Notebook
License
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Last pushed
Jan 31, 2018
Commits (30d)
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