⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Data and code behind the articles and graphics at FiveThirtyEight

Jupyter Interactive Notebook

Notebooks and code for the book "Introduction to Machine Learning with Python"

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Code for Tensorflow Machine Learning Cookbook

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Examples and guides for using the Gemini API.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

A crash course in six episodes for software developers who want to become machine learning practitioners.

Open weights LLM from Google DeepMind.

R kernel for Jupyter

The Hitchhiker's Guide to Data Science for Social Good

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition