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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Credit card fraud detection through logistic regression, k-means, and deep learning.
| Date | Stars |
|---|---|
| 2026-07-31 | 286 |
| 2026-08-06 | 286 |
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# Credit Card Fraud Detection Three models trained to label anonymized credit card transactions as fraudulent or genuine. Dataset from [Kaggle](https://www.kaggle.com/dalpozz/creditcardfraud). Project through [ML@B](https://ml.berkeley.edu). Project by [Makena Schwinn](https://github.com/makenaschwinn), [Sunny Zhang](https://github.com/sunnyzhang13), and [Georgy Marrero](https://github.com/georgymh). **[Click here to read about our approach and results.](https://github.com/georgymh/ml-fraud-detection/blob/master/paper.pdf)** **Important Note: The results presented in the paper are currently inconsistent with our latest experimentations. Please view the notebooks to view our empirical results and read the paper to understand our approach.**
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5e430e66942aeb6a, llm:Repository topics and description: 'deep-neural-networks, k-means, kaggle, logistic-regression, machine-learning, python' and description 'Credit card fraud detection through logistic regression, k-means, and deep learning.'