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Machine Learning Python Recommendation Service using NumPy, Panda, and SciPy for Enterprise Level Implementation

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ML PYTHON

ML Recommendation System

Python Recommendation Service comparing ratings from small to massive open-sorce datastores for rapid content recommendation system.

Built With

  • NumPy - Used for linear algebraic vector functions and an efficient multi-dimensional container of generic data
  • Pandas - Open source, high-performance, easy-to-use data structures and data analysis tools
  • SciPy - Python-based ecosystem of open-source software for mathematics, science, and engineering

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

  • Erik Butcher - Initial work - Butcer0

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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Machine Learning Python Recommendation Service using NumPy, Panda, and SciPy for Enterprise Level Implementation

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