This is a non-commercial research project using data provided by Yelp

Project for BANA 5040 Statistical Programming

Explores one method for building a content-based recommender system based on the public yelp dataset

A python script for Yelp customer profiling and business performance evaluation workflow

It's just a very very simple NLP project that's used to classify wether a review is a good one or a bad one, it's made with sklearn using CountVectorizer to transform and vectorize the data, later a NaiveBayes model is used to predict the values. If we use Tf-Idf it doesn't perform well at all due to this particular dataset, but without it, actu…

mYelp es en principio una herramienta para otorgar insignias a negocios referente a sus reseñas en la plataforma Yelp.

The Project for my Big Data Course.

Creating a data pipeline from S3 to snowflake to prep text data for natural language processing

An RNN sentiment classifier for Yelp reviews

Dine Smart is a database management system offering tailored restaurant recommendations by leveraging Yelp data

yelp(美版大众点评)点评数据分析与推荐项目前端仓库，是集成了大数据分析及可视化，以及大数据应用开发的WebApp应用.

CSC365 Data Structures and Algorithims assignments, there three were assignments in all that cummulatively built off each other. Features DS and Algo such as Hashmap, E. Hash Map, K-Medoid Clustering, Dijstrkas, Jacard Similarity,

Yelp Data Set - Data Wrangling

A top dish recommender system

Analysis using publicly available datasets

A RShiny web application that provides rapid analysis of the restaurants in different cities of Ontorio based on user's selection of preferences

Top-K POI project with public Yelp data; for a CWRU group project

Création d'un Dashboard de recommandation de restaurant en fonction des critères de l'utilisateur et de l'importance qu'il donne à ses critères.