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

Recipes for using Python's pandas library

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Simple tutorials using Google's TensorFlow Framework

A course in reinforcement learning in the wild

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

Introduction to Deep Neural Networks with Keras and Tensorflow

Official content for Harvard CS109

General Assembly's 2015 Data Science course in Washington, DC

A few exercises for use at events.

Resources for "Natural Language Processing" Coursera course.

Materials for my Pycon 2015 scikit-learn tutorial.

Resources for "Introduction to Deep Learning" course.

Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).