Recommendation engine on restaurant reviews
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Updated
Apr 24, 2015 - JavaScript
Recommendation engine on restaurant reviews
Mobile Web Specialist ND Restaurant Reviews App: Stage 1
🍽️ 🌟MWS-Restaurant-Reviews🌟. Nanodegree Mobile Web Specilist.
A Twitter application which crawls twitter to fetch and extract restaurants from tweets made about restaurants and rate each restaurant according to the tweet
Authentic Restaurant Design Website
Project 6 for FEND Udacity / Convert a static design that lacks accessibility to be responsive on different sized displays and accessible for screen reader use. A service worker is used for creating a seamless offline experience for the users.
Mobile Web Specialist Restaurant Reviews App: Stage 3
Ripe Apples - A Restaurant Review Aggregator
[Udacity FEND] Project 5 - Restaurant Reviews (Stage 1)
Discovering latent features in restaurant reviews using Topic Modeling
Food Blog
🥇 Udacity front-end nanodegree restaurant reviews project
Udacity MWS Nanodegree project 3
Restaurant Review App project from Udacity Mobile Web Specialist Track.
Project done under the course Machine Learning A-Z™: Hands-On Python & R In Data Science. This project reads a TSV file, cleans the restaurant reviews, generates a bag-of-words model and uses a classifier which tells whether the review is a positive one or a negative one.
Java Client for using Yelp Fusion API
Starter Code for the Udacity's "Mobile Web Specialist Restaurant Reviews App: Stage 1" Project
Udacity Restaurant Reviews Project
Add a description, image, and links to the restaurant-reviews topic page so that developers can more easily learn about it.
To associate your repository with the restaurant-reviews topic, visit your repo's landing page and select "manage topics."