ThomasCabrol/venn.js
A javascript library for laying out area proportional venn and euler diagrams
Developer Profile
ThomasCabrol
Discovered public repositories for ThomasCabrol in the GitHub catalog.
ThomasCabrol/rmagic-tutorial
A brief tutorial showing how Rmagic can be used in IPython Notebook.
ThomasCabrol/python-calais
my fork of python calais (for submodules, mostly, from git-svn)
ThomasCabrol/temp
Public repository.
ThomasCabrol/prediction-strength
An implementation of the prediction strength algorithm from Tibshirani, Walther, Botstein, and Brown's "Cluster validation by prediction strength".
ThomasCabrol/LinkedInGraph
Visualisation of the LinkedIn Graph using Gephi
ThomasCabrol/httr
Public repository.
ThomasCabrol/nvd3
D3 Reusable Charts
ThomasCabrol/RStudioDemo
Demo of RStudio in the cloud
ThomasCabrol/common_crawl_types
A simple Ruby example of how to process Common Crawl files using Elastic MapReduce
ThomasCabrol/dstk
A collection of the best open data sets and open-source tools for data science
ThomasCabrol/data_science_fun_pack
Meta-repository of big data tools -- source and essential plugins for hadoop, pig, wukong, storm, kafka etc.
ThomasCabrol/pig-data-mining-talk
Notes and resources for my talk at the Hadoop UK Users' Group in June 2012
ThomasCabrol/spatialanalytics
Where 2.0 Workshop Code: Spatial Analysis of Tweets using Hadoop, Pig, Python & Mechanical Turk. Slides here: http://www.slideshare.net/kevinweil/spatial-analytics-where-20-2010
ThomasCabrol/trendingtopics
Rails app for tracking trends in server logs - powered by the Cloudera Hadoop Distribution on EC2
ThomasCabrol/useR_2010_Twitter
Slides, code, images and data generated for presentation at useR! 2010
ThomasCabrol/strata_bootcamp
Code and slides in support of Data Bootcamp tutorial at Strata Conference 2011
ThomasCabrol/NetworkX_Intro_Materials
Materials for Introduction to NetworkX workshop, presented at Sunbelt 2010
ThomasCabrol/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
ThomasCabrol/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"