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Lessons GitHub

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Basic ML

  • Learn Python basics with notebooks.
  • Use data science libraries like NumPy and Pandas.
  • Implement basic ML models in TensorFlow 2.0 + Keras.
  • Create deep learning models for improved performance.
Basics
Machine Learning
Tools
Deep Learning

All lessons include:

Practical AI
“Hello world” to deep learning without the complicated math and code.
Simple code
Learn how to use TF 2.0 + Keras to build tools that go beyond tutorials.
Illustrative content
Internalize ML concepts through images/animations that supplement code.

Mission

👩‍🎓 · WHO: Anyone in any industry can learn ML; you don’t need a computer science or math degree.
📚 · WHAT: Practical lessons with code accompanied by images/animations to build intuition.
⏰ · WHEN: The basic lessons will be released one by one very soon once notebooks are complete.
💻 · WHERE: Lessons will be hosted on Google Colab. We'll also have Jupyter notebooks if you're from China, Iran or any other country that restricts Google.
🌎 · WHY: Last year I released practicalAI to show that ML is a tool that can be leveraged by anyone to have an impact in their field. Since then, we’ve grown to become the #1 NLP repository on GitHub and several 100s of people have shared what they've built and how they’re making an impact on ignored industries. I want to make this content even more interactive and practical for even more people which is why all lessons will always be 100% free for anyone that wants to learn