sagnikghoshcr7/Credit-Card-Fraud-Detection
Fraud Detection model based on anonymized credit card transactions
This project helps credit card companies automatically identify suspicious transactions to protect customers from unauthorized charges. It takes anonymized credit card transaction data as input and determines which transactions are likely fraudulent. Credit card fraud analysts, risk managers, and financial operations teams can use this to quickly flag and investigate potential fraud.
119 stars. No commits in the last 6 months.
Use this if you need a system to help you automatically detect fraudulent credit card transactions, especially with unbalanced datasets where fraud is rare.
Not ideal if you need a real-time, production-ready system to process live transactions, as this is a local model for analysis.
Stars
119
Forks
50
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 11, 2022
Commits (30d)
0
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