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This Data Science Project aims to provide students a brief introduction to what Data Science is and the tools that are useful.

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Data Science Project

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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

Getting Started

Installation

  1. Clone this repository with git clone
  2. If you have not already done so, install docker for your platform.
  3. Bring test that the initial setup works correctly with docker-compose up --build.
  4. Assuming this works correctly, you can now start developing.

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 ...)
  3. Commit your Changes (git commit -m ...)
  4. Push to the Branch (git push origin ...)
  5. Open a Pull Request

About

This Data Science Project aims to provide students a brief introduction to what Data Science is and the tools that are useful.

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