21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

12 Weeks, 24 Lessons, AI for All!

Google Research

Free Data Engineering course!

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

The fastai book, published as Jupyter Notebooks

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Data and code behind the articles and graphics at FiveThirtyEight

Companion webpage to the book "Mathematics For Machine Learning"

Public facing notes page

Visualizations for machine learning datasets

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Exploration of methods for coloring t-SNE.