kennethleungty/Anomaly-Detection-Pipeline-Kedro
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
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.
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25
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10
Language
Python
License
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Category
Last pushed
Dec 27, 2022
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