InvertedIndex using MapReduce
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Updated
Sep 17, 2015 - HTML
InvertedIndex using MapReduce
Play around with Yelp dataset in Python (in progress and very messy repo)
predicting yelp review rating using recurrent neural networks
Restaurant recommendations and review text-based quality predictions
Work done as a part of the Yelp dataset challenge.
Parse nested JSON file and convert to CSV; Convert YELP dataset to CSV
Business and Topic Recommendation a new Business Owner can provide in their new Restaurant or for an existing restaurant.
Springboard Foundations of Data Science - Capstone Project Repository
Predict the degree of likeness for new yelp businesses using Machine Learning
Classification of User Star Ratings using Review Text from the Yelp Dataset Challenge
A standalone Java application, which runs queries on the huge Data Set of YELP and extracts useful information. Filtering is based upon Main Categories, Sub Categories and Attributes a business belongs to. Allows user to filter the business results again based on City, State, Zip Code, Days of week and timings. Application is build by extracting…
This system is developed as a part of capstone project for Statistical Machine Learning course. The system recommends restaurants to Yelp users based on their reviews history in the Yelp database.
Classification of Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews.
Sample analysis for the latest yelp dataset using spark
NLP on 3M reviews & Image classification on 200k images
Project for getting data about several entities.
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