Segmenting-and-Clustering-Neighbourhoods-in-Toronto-Project

!Important : Maps in the notebook can be seen from photos in repo or by running the notebook on Jupyter Notebook

This project's data is scraped from wikipedia (https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M)

Foursquare API is used to explore neighborhoods in Toronto

Neighbourhoods are grouped into clusters by using explore function to get the most common venue categories in each neighborhood

K-Means is used for clustering

Folium library is used to visualize the neighborhoods in Toronto and their emerging clusters.