madjelan's repositories

2015

Public material for CS109

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awesome-courses

List of awesome university courses for learning Computer Science!

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awesome-osx-command-line

Use your OS X terminal shell to do awesome things.

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capstone

Capstone Projects, Requests, and Accolades Galore

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dashboards

Open-source dashboard template for Plotly charts forked from keen.io dashboard templates

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DAT8

General Assembly's Data Science course in Washington, DC

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data

Open Data Sources

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data-1

Data and code behind the stories and interactives at FiveThirtyEight

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Data-Science-45min-Intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

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data-science-ipython-notebooks

Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes

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dive-into-machine-learning

Dive into Machine Learning with ipython notebook and scikit-learn

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github-cheat-sheet

A list of cool features of Git and GitHub.

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go

The Open Source Data Science Masters

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ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

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IPython-plotly

A collection of data science IPython notebooks with Plotly graphs

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Kaggle-Ensemble-Guide

Code for the Kaggle Ensembling Guide Article on MLWave

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Mining-the-Social-Web-2nd-Edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

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pandoc

Universal markup converter

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peripheral_brain

A collection of tutorials and posts on data science, quantitiatve research, and scientific programming.

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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python-guide

Python best practices guidebook, written for Humans.

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python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

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python-reference

Python 2.7 Quick Reference

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python_reference

Useful functions, tutorials, and other Python-related things

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QuantEcon.notebooks

Jupyter notebooks contributed by QuantEcon developers, users and the community

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scikit-learn

scikit-learn: machine learning in Python

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scikit-learn-videos

IPython notebooks from the scikit-learn video series

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xgboost

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.

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You-Dont-Know-JS

A book series on JavaScript. @YDKJS on twitter.

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