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arbox/data-science-with-ruby

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Data Science With Ruby

[RubyNLP | RubyML | RubyInterop]

Features

  • Machine Learning Frameworks - A comprehensive collection of data science and machine learning resources.

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  • Learning Resources - Curates tools for data science workflows.
  • Awesome Lists - Data science with Ruby.
    • 724 stars·51 forks·Ruby·CC0-1.0·14 views

    Star history

    Star history chart for arbox/data-science-with-rubyStar history chart for arbox/data-science-with-ruby

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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    Frequently asked questions

    What does arbox/data-science-with-ruby do?

    [RubyNLP | RubyML | RubyInterop]

    What are the main features of arbox/data-science-with-ruby?

    The main features of arbox/data-science-with-ruby are: Machine Learning Frameworks, Learning Resources, Awesome Lists.

    Which projects share features with arbox/data-science-with-ruby?

    Projects with overlapping indexed features include: jtoy/awesome-tensorflow — TensorFlow - A curated list of dedicated resources http://tensorflow.org. emijrp/awesome-awesome — A curated list of awesome curated lists of many topics. bayandin/awesome-awesomeness — This project is a community-driven directory that aggregates and categorizes high-quality technical resources, tools,… dastergon/awesome-sre — A curated list of Site Reliability and Production Engineering resources. ebookfoundation/free-programming-books — This project is a centralized, open-access repository that serves as a structured directory for technical education… dend/awesome-product-management — 🚀 A curated list of awesome resources for product/program managers to learn and grow.