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 ;)

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

The "Python Machine Learning (1st edition)" book code repository and info resource

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Scenarios, tutorials and demos for Autonomous Driving

Tutorial on scikit-learn and IPython for parallel machine learning

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

A repository with IPython notebooks of algorithms implemented in Python.

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

Building an image classifier using keras

Geographic Data Science, the course

Arewa Data Science Machine Learning Curricula

Text Classifier for English as a Second Language Material