Learn how to design, develop, deploy and iterate on production-grade ML applications.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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

A game theoretic approach to explain the output of any machine learning model.

📡 Simple and ready-to-use tutorials for TensorFlow

PRML algorithms implemented in Python

Visualizations for machine learning datasets

A better notebook for Scala (and more)

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Simple and flexible progress bar for Jupyter Notebook and console

Machine Learning toolbox for Humans

Notebooks for MXNet

Short tutorial for TensorFlow, designed to be presented in-person

Fast (Personalized) PageRank Implementation

A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.