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

Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.

🤖 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!

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…

Collection of important articles to be treated as a textbook

Exploration of methods for coloring t-SNE.