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julya

Curated bits and bytes of Julia (language) learning resources, libraries, cookbooks and blog links, howto's, etc...

learndatascience

Open Content for self-directed learning in data science

linux-cheatsheet

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine_learning

Python coded examples and documentation of machine learning algorithms.

machinelearning

POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Notebooks

mapreduce-course-2013s

MapReduce course at the University of Maryland for Spring 2013

mapreducealgorithms

Data-Intensive Text Processing with MapReduce

mapreducepatterns

Repository for MapReduce Design Patterns (O'Reilly 2012) example source code

mass-scraping

Quickly download and scrape websites on a massive scale.

matplotlib_pydata2013

PyData SV 2013 Tutorial on Advanced Matplotlib

mining-the-social-web

The official online compendium for Mining the Social Web (O'Reilly, 2011)

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mli

An API for Distributed Machine Learning

mpld3

Experimenting with d3 renderings for matplotlib plots

mr-data-converter

Takes CSV or tab-delimited data from Excel and converts it into several web-friendly formats, include JSON and XML.

myrrix-recommender

Official mirror of the Myrrix open source recommender's Subversion repository

nltk_2.0_cookbook

IPython Notebook (and converted .py) examples based on those presented in Jacob Perkin's NLTK 2.0 Cookbook text

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-cookbook

Recipes for using Python's pandas library

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

pds-fall-2013

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 ;)

probability

Notes, problems, simulations developed while following the MIT Open Courseware class "Probability Systems Analysis

recipes-for-mining-twitter

Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web

regexmagic

Regular expression magic for the IPython Notebook

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

scikit-learn

scikit-learn: machine learning in Python

scipydotin_2013