Recommender system: Australian suburbs using clustering and the Foursquare API
This project utilizes publicly available data to recommend 10 similar suburbs in Australia to a given suburb. This could be useful for people trying to decide where to work, rent or buy property. It utilizes K-Means clustering from Scikit-learn to cluster venue and cultural data, the pandasdmx package to interface with the Australian Bureau of Statistics API, and the Beautiful Soup package to scrape demographic information from the web.