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…

A few of tools to process Yelp data set

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.