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Build predictive models on highly skewed data by selecting an example of fraudulent transactions in the financial institutions🚀

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Fraud Detection AI

Build predictive models on highly skewed data by selecting an example of fraudulent transactions in the financial institutions.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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Build predictive models on highly skewed data by selecting an example of fraudulent transactions in the financial institutions🚀

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