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An interactive and visual Machine Learning book - with code and assignment

Python Jupyter JupyterBook PR Welcome codespaces binder

Ocademy is a friendly community where you can learn Machine Learning for free. This interactive and visual book aims to help millions of busy adults transition into Machine Learning.

Open source promotes equal opportunities for everyone to access AI. We create and share our educational resources and methods freely and openly with the public, which emphasizes collaboration, transparency, and community-driven learning and teaching.

Our content is completely free and self-paced, which covers Python, Data Science, Machine Learning, Deep Learning and MLOps. We have TDD-style challenges to help you expand your skills.

🧩 Features

  • A curated list of beginner-friendly tutorials for learning Python, Data Science, Machine Learning, Deep Learning and MLOps.
  • Empower the learning journey with interactive Jupyter Notebooks.
    • The book is built with Jupyter Book from computational content written as notebook.
    • The slide is built with RISE which instantly turns notebook into a live reveal.js-based presentation.
    • The assignment is in TDD style and self-testable as pytest compatible notebook.
  • Transforming Machine Learning through the art of visualization.
    • Python is visualized by Python Tutor.
    • Data Science is visualized by Pandas Tutor, Pandas and various other Python visualization libraries.
    • Machine Learning/Deep Learning algorithms and models are visualized by frameworks like Tensorflow.js.

πŸ‘©β€πŸ’» How to contribute

We welcome all contributions to the community and are excited to welcome you aboard. If you have the passion for Data Science, Machine Learning, and Deep Learning, simply fork the repository and follow our Guidelines for contributing to make your changes.

If you're new to open source or aren't sure where to start, don't worry! We have a guide for beginners that can help you get started. We also have a Code of conduct that we ask all contributors to follow to ensure that our community is welcoming and inclusive.

βœ‰οΈ Contact us

If you have any questions or comments about this project, please feel free to contact us by email. We look forward to hearing from you!

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πŸ“„ License

Copyright Β© 2023 Ocademy

The content of this repository is bound by the following licenses:

  • The code is licensed under the MIT.
  • The text and multimedia are licensed under CC-BY-4.0.

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Languages

  • Jupyter Notebook 78.6%
  • JavaScript 18.4%
  • HTML 2.5%
  • TypeScript 0.3%
  • CSS 0.1%
  • TeX 0.1%