Stars
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
Deploy a full stack app that gives you realtime weather updates with style
Admin Dashboard build with ReactJs and React Semantic UI.
Universal React App + Redux + React-Router + Semantic-UI-React
A fully functioning Node.js shopping cart with Stripe, PayPal, Authorize.net, PayWay, Blockonomics, Adyen, Zip and Instore payments.
Website that uses the Google Maps API to create an optimized route between waypoints. (My first website, from 2016).
This is a deprecated Watson Text to Speech Service Demo. A link to the newly supported demo is below
Application to get a quick lookup of the past financial performance of publicly-traded US companies.
VIP cheatsheets for Stanford's CS 229 Machine Learning
[Archived] A really simple but powerful packaged personal site that has social integrations like twitter, github, dribbble, instagram, foursquare, tumblr, wordpress, linkedin, spotify/last.fm, and …
We Work Meteor, a job board and developer directory for Meteor specific work
Building the Coffee Quality Institute Database
A topic-centric list of HQ open datasets.
A curated list of awesome R packages, frameworks and software.
Exercise solutions to "R for Data Science"
A curated list of awesome JSON datasets that don't require authentication.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Materials for Georgetown Data Science certificate.
University of Michigan source code and data associated with Practical Learning Analytics course.
Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central European University
This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.
Ways of doing Data Science Engineering and Machine Learning in R and Python
📝 An awesome Data Science repository to learn and apply for real world problems.
My work on Analytics and Research in Data Science
Syllabus: MUSA 620 - Data Wrangling and Data Visualization