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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

TensorFlow Tutorials with YouTube Videos

tiny vision language model

fast.ai Courses

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A library for debugging/inspecting machine learning classifiers and explaining their predictions

A python tutorial on bayesian modeling techniques (PyMC3)

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Learning numerical computing with notebooks for all ages.

Feature exploration for supervised learning

The accompanying files for the book 'Dataviz with Python and JavaScript'

COMS W4995 Applied Machine Learning - Spring 18

Documentation and library for decoding omnipod communications.

Material for learning and practicing the technique of multi-objective optimisation

Practical cheat sheets

Capstone project for Galvanize Data Science Immersive