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a simple, but flexible, way for anyone to stand up an instance of the edX platform that is fully configured and ready-to-go
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Cheat Sheets
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Start doing data science in minutes
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
MIT Deep Learning Book in PDF format
Set of notes with links to help those who are Data Science Beginners
Catalog of Galaxies, Plotted by Redshift
Hard tasks and solutions
KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming, Apache Cassandra, Apache Kafka and Akka for fast, streaming computations on time series data in asynchronous event-driven environments.
Open Content for self-directed learning in data science
Lessons learned the hard way through over 30+ data science interviews
Live Coding repo for showing to an info session
Scripts to cleanup and update apps on the lab macs.
An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
This is a submission for the "Predicting Stock Prices challenge" by @Sirajology on Youtube. [runner-up]
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Introduction to probabilistic programming using PyMC3
Repository for Programming Assignment 2 for R Programming on Coursera
A presentation of commonly observed beginner-mistakes.
Python 2.7 Regular Expression cheatsheet, as a restructured text document and Makefile to convert it to PDF
R for data science
scikit-learn: machine learning in Python
DSI Self Study Resources
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.