Predict the degree of likeness for new yelp businesses using Machine Learning
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Updated
May 14, 2017 - Java
Predict the degree of likeness for new yelp businesses using Machine Learning
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…
Academic project for Advance Database Management Systems (Big-Data) course
Hotel Recommendation system based on Content, Collaborative, Social Network Based Systems
We are using Yelp Data-set for restaurant data
Yelp data analysis using HBase Java API and building a QA application
Implementation of Hadoop and Spark
Assignment 1 Java Code from my CSC365 Class at SUNY Oswego.
This repository consists of comparison between two LDA algorithms (EM and Online) in Apache Spark 'mllib' library and also finding the best hyper parameters on YELP dataset.
This is a non-commercial research project using data provided by Yelp
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