ztqsteve/yelp-data-challenge

Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

Yelp Data Challenge

Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

Dataset Introduction

https://www.yelp.com/dataset_challenge

The Challenge Dataset:

4.1M reviews and 947K tips by 1M users for 144K businesses

1.1M business attributes, e.g., hours, parking availability, ambience

Aggregated check-ins over time for each of the 125K businesses

200,000 pictures from the included businesses

Cities:

U.K.: Edinburgh

Germany: Karlsruhe

Canada: Montreal and Waterloo

U.S.: Pittsburgh, Charlotte, Urbana-Champaign, Phoenix, Las Vegas, Madison, Cleveland

Files:

yelp_academic_dataset_business.json

yelp_academic_dataset_checkin.json

yelp_academic_dataset_review.json

yelp_academic_dataset_tip.json

yelp_academic_dataset_user.json