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arbox/data-science-with-ruby

0
View on GitHub↗
724 stars·51 forks·Ruby·CC0-1.0·11 views

Data Science With Ruby

[RubyNLP | RubyML | RubyInterop]

Features

  • Machine Learning Frameworks - A comprehensive collection of data science and machine learning resources.
  • Learning Resources - Curates tools for data science workflows.
  • Awesome Lists - Data science with Ruby.

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 were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. 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.

What are some open-source alternatives to arbox/data-science-with-ruby?

Open-source alternatives to arbox/data-science-with-ruby 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.