This repo contains scripts to process data from the GitHub Archive to participate in the GitHub Data Challenge.
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Updated
May 17, 2012 - Python
This repo contains scripts to process data from the GitHub Archive to participate in the GitHub Data Challenge.
A word cloud based on browser mentions in GitHub commit messages.
Scripts used for analyzing GitHub commit locations to create a map visualization
World aid transparency data scripts for creating a visualization with D3
Script to create a gexf network graph of the connections between voters and voted players from the male FIFA Ballon d'Or award 2012.
Script to grab Freebase data about James Bond actors and generate gexf data file.
Rail suicides data munging with Python pandas
Process data for Evolution of Internet Users dataviz
Script to process data from the Exploit database for later visualization with D3
Lightweight framework for creating data-collecting plugins and chaining calls to them from CLI, REST or Python to return unified data sets.
Data processing and other important files for PHYS297 at the University of Alberta, Winter 2017
Use Wind's API in Python to build an automatic update scheme for Mainland Chinese stocks' data
A machine learning component of a greater project.
Handy scripts for processing stupid, ugly, anony data . Copy and Use it !
Processes an image and extract features from it that are ready to be fed into a classifier.
This python code is developped to grid Herschel SPIRE/FTS observations of any mode to a map.
Quickpipeline is a python module for quick preprocessing of features for further use in machine learning tasks
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