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bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

boston_map_project

Data Wrangling of OpenStreetMap Data for the city of Boston

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

courses

fast.ai Courses

cs231n.github.io

Public facing notes page

daft

Render some probabilistic graphical models using matplotlib

data-science-is-software

dobson

Python solutions to the code examples in Dobson AJ & Barnett AG: "An Introduction to Generalized Linear Models (3rd ed)

doing_bayesian_data_analysis

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

enron_project

glm-sklearn

Some scikit-learn-esque wrappers for statsmodels GLM

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pycon2016

Code bases, tutorials, posters, and other content for PyCon2016.

pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

pymc3_oslo

Probabilistic programming in Python workshop at Oslo universitetssykehus HF

stan-workshop

Examples of working and non-working models, initially for ODCS 2016 in Boston.

tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

titanic_viz

Visualization of data from the Titanic

xgboost

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.