sauhard2701/Fraud-Transaction-Detection
INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
This project helps financial companies identify suspicious transactions that might be fraudulent. It takes raw transaction data (like amounts, types, and recipient information) and flags which ones are likely scams. Financial analysts, risk managers, and compliance officers would use this to protect their customers and assets.
No commits in the last 6 months.
Use this if you need to build a system to automatically flag potentially fraudulent financial transactions from a large dataset.
Not ideal if you're looking for an off-the-shelf fraud detection service rather than a model you can implement and customize.
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16
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9
Language
Jupyter Notebook
License
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Last pushed
Nov 19, 2022
Commits (30d)
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