datahacking/pandas-cookbook
Recipes for using Python's pandas library
Developer Profile
datahacking
Discovered public repositories for datahacking in the GitHub catalog.
datahacking/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
datahacking/content
Official content for Harvard CS109
datahacking/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
datahacking/BuildingMachineLearningSystemsWithPython
Source Code for the book Machine Learning Systems with Python
datahacking/Bios366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
datahacking/go
The Open Source Data Science Masters
datahacking/climin
Optimizers for machine learning
datahacking/NIPS2013_sklearn
Abstract for NIPS 2013
datahacking/Will_it_Python
Translating R Data Analyses to Python
datahacking/d3-cookbook
Source code for "Data Visualization with D3 Cookbook"
datahacking/kdd-2013-usb
Contents of the KDD 2013 USB drive
datahacking/ds_social_sciences
Tutorials, code examples, and problem sets from "Data Science for the Social Sciences," Cambridge University Press (2014)
datahacking/pca-tutorial
Presenation-- PCA for the uninitiated: Intuitive motivation via maximum variance interpretation
datahacking/ThinkBayes
Code repository for Think Bayes.
datahacking/LearnDataScience
Open Content for self-directed learning in data science
datahacking/python-scraping-code-samples
Public repository.
datahacking/2013_fall_ASTR599
Content for my Astronomy 599 Course: Intro to scientific computing in Python
datahacking/Bayesian-data-analysis-with-PyMC2
Bayesian data analysis with PyMC(2)
datahacking/entity-linking-and-retrieval-tutorial
Entity Linking and Retrieval Tutorial
datahacking/financial-analysis-python-tutorial
Financial Analysis in Python tutorial
datahacking/python-tutorial
Files for my Python tutorials
datahacking/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
datahacking/sklearn_pycon2013
Files for my scikit-learn tutorial at PyCon 2013
datahacking/AnatomyOfMatplotlib
Anatomy of Matplotlib Tutorial originally developed for SciPy 2013
datahacking/hadoop-algorithms
Public repository.
datahacking/scipy2013
SciPy 2013 Data Processing Tutorial
datahacking/scipy2013-tutorial-numpy-ipython
Materials for my SciPy2013 tutorial on NumPy and IPython
datahacking/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
datahacking/sklearn_scipy2013
Scikit-learn tutorials for the Scipy 2013 conference
datahacking/python-data-intro
Draft Open Tech School course: "Introduction to Data Processing with Python"
datahacking/working-open-data
Materials for a course on open data at UC Berkeley I School
datahacking/octave-networks-toolbox
A set of graph/networks analysis functions in Octave
datahacking/zmPDSwR
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)
datahacking/PDS
Practical Data Science [INFO-GB.3359 (B20.3359)]
datahacking/datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
datahacking/sentiment_analysis_python
Working with sentiment analysis in Python.
datahacking/mcmc-tutorial
Public repository.
datahacking/linuxgems
A succinct cheat sheet for newbie linux coders and system administrators, documenting some of the more obscure and useful gems of linux lore. Intended to be viewed in emacs org-mode, or VimOrganizer, though any text editor will suffice.
datahacking/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
datahacking/sobot
Chinese social websites(Weibo, Renren) robots
datahacking/visrenren
visualize Renren friends
datahacking/magicmethods
Guide to Python's magic methods
datahacking/DC_DataScience_Meetup
Code and slides for the DC Data Science Meetup talk
datahacking/d3-book
Sample code files to accompany the book “Interactive Data Visualization for the Web” by Scott Murray
datahacking/CS228T.2012
The programming assignments from CS228T offered in Spring 2012 at Stanford