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https://github.com/rakibhhridoy/handlingimbalanceddataset-business
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase but by others illegally. Some huge transactions can also done by suspicious figure, it need to catch em.
https://github.com/rakibhhridoy/handlingimbalanceddataset-business
auc business-intelligence fraud-detection imbalanced-data imbalanced-learning machine-learning oversampling precision recall smote transcations
Last synced: about 2 months ago
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It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase but by others illegally. Some huge transactions can also done by suspicious figure, it need to catch em.
- Host: GitHub
- URL: https://github.com/rakibhhridoy/handlingimbalanceddataset-business
- Owner: rakibhhridoy
- Created: 2020-08-13T09:40:55.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-08-14T09:05:27.000Z (over 4 years ago)
- Last Synced: 2023-03-09T10:33:15.997Z (almost 2 years ago)
- Topics: auc, business-intelligence, fraud-detection, imbalanced-data, imbalanced-learning, machine-learning, oversampling, precision, recall, smote, transcations
- Language: Jupyter Notebook
- Homepage: https://rakibhhridoy.github.io
- Size: 975 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0