Vegas, Baby! A Distance-based Recommender System with the Yelp Dataset

The lights, the sounds, the joyful lap-dancing abound. Or so I've heard (I haven't actually been there). As they say, whatever happens in Vegas, stays in Vegas; we all know what happens in Vegas, but perhaps culinary experiences do not top that list. For the 5th project in Metis' Data Science Bootcamp, I decided to have a go at using Yelp's Kaggle Dataset to build a distance-based recommender system. In this project, I hypothesize food being an afterthought, that people are indecisive, constantly hangry and want to be told what restaurants are good within their immediate proximity while still taking into account personal preferences and visit histories.