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chapters

Content and compile scripts for the online textbook Probabilistic Models of Cognition

cleaning_data_project

course

Functional Programming Course

datasciencecoursera

datasharing

The Leek group guide to data sharing

dippl

The Design and Implementation of Probabilistic Programming Languages

dive-into-machine-learning

Dive into Machine Learning with ipython and scikit-learn. Disclaimer: This is a by-beginner, for-beginner's guide. I am a beginner too, so I'm sure there's room for improvement. Please contribute, open issues, and submit pull requests. Thanks!

diy-lisp-julia

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

functional-programming

Functional Programming concepts, examples and patterns illustrated through Haskell syntax.

pl101compiler

nathan's university lessons code

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

probmods2

probmods 2: electric boogaloo

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pymc

PyMC: Bayesian Stochastic Modelling in Python

reactjs_koans

Learn basics of React.js making the tests pass

test-repo

testing

try_git