kennethleungty/Anomaly-Detection-Pipeline-Kedro

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

32
/ 100
Emerging

This project helps financial institutions and fraud prevention analysts identify unusual patterns in credit card transaction data that may indicate fraudulent activity. It takes raw credit card transaction logs as input and outputs a list of potentially fraudulent transactions, making it easier to flag and investigate suspicious cases. This tool is designed for data scientists or fraud analysts in banking and finance.

No commits in the last 6 months.

Use this if you need a structured and reproducible way to detect credit card fraud using an Isolation Forest model.

Not ideal if you're looking for a plug-and-play fraud detection solution that doesn't require technical expertise in data science frameworks.

fraud-detection credit-card-transactions financial-crime risk-management unsupervised-learning
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 17 / 25

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Stars

25

Forks

10

Language

Python

License

Last pushed

Dec 27, 2022

Commits (30d)

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