yazanobeidi/fraud-detection
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
This project helps financial institutions and payment processors detect fraudulent credit card transactions. It takes raw transaction data and provides insights into how different machine learning models, combined with techniques like ADASYN and SMOTE, perform in identifying fraud. Financial analysts, risk managers, and fraud prevention specialists can use this to understand and implement effective fraud detection strategies.
107 stars. No commits in the last 6 months.
Use this if you are responsible for mitigating financial risk due to credit card fraud and need to evaluate different machine learning approaches to accurately flag suspicious transactions.
Not ideal if you are looking for a plug-and-play fraud detection system without needing to understand the underlying machine learning methodologies.
Stars
107
Forks
44
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 07, 2022
Commits (30d)
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