courtneywmorris Goto Github PK
Name: Courtney Morris
Type: User
Bio: Data scientist via applied statistics, economics, and finance.
Location: New York
Name: Courtney Morris
Type: User
Bio: Data scientist via applied statistics, economics, and finance.
Location: New York
Some IPython notebooks with EDA and modeling work for various problems I've worked on.
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
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/
Notebooks covering introductory material to ML, ML with sklearn and tips.
A book for the coursera statistical inference class
River from Mongo oplog to postgresql
Mapping photos of Old New York
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 ;)
Python Koans - Learn Python through TDD
A game theoretic approach to explain the output of any machine learning model.
Text and supporting code for Think Stats, 2nd Edition
Repo for building a first-name recommendation engine using US name data from the past century.
A repo for using Selenium to scrape USDA data
A repo for all of the web-scrapers I've ever built
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.