datahacking
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nlptutorial nlptutorial Public
Forked from neubig/nlptutorial
A Tutorial about Programming for Natural Language Processing
Perl 1
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CS228T.2012 CS228T.2012 Public
Forked from sancha/CS228T.2012
The programming assignments from CS228T offered in Spring 2012 at Stanford
Objective-C
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d3-book Public
Forked from scotthmurray/d3-book
Sample code files to accompany the book “Interactive Data Visualization for the Web” by Scott Murray
JavaScript 1
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DC_DataScience_Meetup DC_DataScience_Meetup Public
Forked from maksim2042/DC_DataScience_Meetup
Code and slides for the DC Data Science Meetup talk
Python
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magicmethods magicmethods Public
Forked from RafeKettler/magicmethods
Guide to Python's magic methods
Python
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Repositories
- nlptutorial Public Forked from neubig/nlptutorialdatahacking/nlptutorial’s past year of commit activity
A Tutorial about Programming for Natural Language Processing
- PyCon2015 Public Forked from kastnerkyle/PyCon2015
Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/367/
- data-science-from-scratch Public Forked from joelgrus/data-science-from-scratchdatahacking/data-science-from-scratch’s past year of commit activity
code for Data Science From Scratch book
- Kalman-and-Bayesian-Filters-in-Python Public Forked from rlabbe/Kalman-and-Bayesian-Filters-in-Pythondatahacking/Kalman-and-Bayesian-Filters-in-Python’s past year of commit activity
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
- Bastien-Theano-Workshop Public Forked from gwulfs/Bastien-Theano-Workshopdatahacking/Bastien-Theano-Workshop’s past year of commit activity
This repo contain the exercies of the Next.ML 2015 presentation
- NLP-in-Python Public Forked from arnicas/NLP-in-Pythondatahacking/NLP-in-Python’s past year of commit activity
Intro to some NLP concepts in Python for a class
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