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Python Data Science Handbook: full text in Jupyter 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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Data and code behind the articles and graphics at FiveThirtyEight
Public facing notes page
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
A course in reinforcement learning in the wild
A scikit-learn compatible neural network library that wraps PyTorch
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Introduction to Deep Neural Networks with Keras and Tensorflow
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
A python tutorial on bayesian modeling techniques (PyMC3)
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Source code for my collection of articles on using pandas.
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Supporting code for short YouTube series Neural Networks Demystified.
A deep Q learning demonstration using Google Tensorflow
python partial dependence plot toolbox
A template for small scientific python projects
Introduction to Deep Learning for Natural Language Processing
A JupyterLab extension for displaying cell timings