abdullahsaka/Capital_One-Data_Challenge
Data Science Challenge
This project helps financial institutions automatically identify potentially fraudulent credit card transactions. It takes raw transaction data, processes it to account for common issues like reversals or accidental duplicate charges, and then predicts whether each transaction is legitimate or fraudulent. It's designed for data analysts or risk managers at banks and financial companies.
No commits in the last 6 months.
Use this if you need to build a system to automatically flag suspicious credit card transactions for review.
Not ideal if you're looking for a real-time, production-ready fraud detection API, as this is a case study and not an out-of-the-box solution.
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11
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7
Language
Jupyter Notebook
License
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Last pushed
May 14, 2021
Commits (30d)
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