puneethmishra/Python_for_Data_Science
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
Discovered public repositories for puneethmishra in the GitHub catalog.
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
Bayesian Network with R and Hadoop
Public repository.
Some sample IPython notebooks for scikit-learn
Machine learning programming exercises
Source Code for the book: Machine Learning in Action published by Manning
Tutorial on scikit-learn and IPython for parallel machine learning
Intro to machine learning with sklearn
Recipes for using Python's pandas library
Statistical Data Analysis in Python
This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
scikit-learn: machine learning in Python
Open Content for self-directed learning in data science
Official content for Harvard CS109
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Scikit-learn tutorials for the Scipy 2013 conference
Files for my scikit-learn tutorial at PyCon 2013
sklearn talk for dataphilly/phillypug based on github.com/jakevdp/sklearn_pycon2013 and http://scikit-learn.github.io/scikit-learn-tutorial/general_concepts.html
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Code examples from the IPython minibook, Packt Publishing, by C. Rossant
Implementation of some deep learning algorithms.
Various documents and code examples for NICAR 2013 presentations.
R code and documentation for "Introduction to Data Science" by Jeffrey Stanton
IPSUR, Introduction to Probability and Statistics Using R, is a textbook written for an undergraduate course in probability and statistics. IPSUR is FREE, in the GNU sense of the word.
Code accompanying the book "Machine Learning for Hackers"
Materials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
The lecture slides for Coursera's Data Analysis class