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A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
Bash Crash Course
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
Official content for Harvard CS109
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Customer Analytics
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.
Blazegraph High Performance Graph Database
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
Uncensored Everpix metrics, financials and business data for your perusing
Find faces in images and get facial info with this easy REST API.
Library and resources for hack/reduce Hackathon events
Let’s Big Data. Hue is an open source Web interface for analyzing data with Hadoop and Spark.
GitBook teaching programming basics with Javascript
Open Content for self-directed learning in data science
Aspect-based opinion mining on Yelp reviews
Feature-Based Sentiment Analysis in Python
Generate pairs for pair programming, that are guaranteed to not repeat
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 ;)
A Python powered app that scrapes images from requested URLs and dumps them in scraper's directory.
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
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.