kilbergr

kilbergr's Stars

• ferlatte/dotfiles

  My personal dotfiles.

  Language:Shell91

• jrozra200/jakes_personal_masters

  Meanderings about the academic world

  Language:Python2

• kilbergr/portfolio

  Language:HTML1

• emoreno619/topic_model_flask

  flask server offers API endpoint for document topic modeling; input: array of string, output json

  Language:Python21

• dicristomanuel/me

  Language:CSS21

• emoreno619/portfolio_site

  Language:HTML3

• kilbergr/MortalityApp

  Ruby Application to visualize Mortality statistics from the CDC

  Language:JavaScript31

• emoreno619/cpp-coursework

  projects from C/C++ Programming (CISC 192) and Object Oriented Programming in C++ (CISC 205)

  Language:C++51

• emoreno619/sentimentAnalysis

  This Node.js app built with MongoDB allows users to compare both scores from Yelp and Google+ for a restaurant at the same time. It uses the Yelp, Google Maps and Alchemy Labs APIs, and dynamically scrapes text content of reviews to be scored with sentiment analysis to generate a third score. While the data pipeline for the third score is built, a dynamic third score of each location is not currently available because of API rate limitations.

  Language:JavaScript101

• emoreno619/yelpData

  This Node.js, Flask and PostgreSQL app models topics in Yelp reviews in order to succinctly display prominent topics for all reviews of a location. Users then better understand which features scores reflect. Scraped 1.1mil reviews in one day + 1.6mil from Yelp academic dataset. Data sci + machine learning + web application + D3 data viz.

  Language:HTML92