Clustering Neighborhoods of Toronto

Clustering and segmenting neighborhoods of Toronto based on the most common venues in the neighborhoods.
Visualising the clusters on the map of Toronto using folium.

Libraries needed:

1. BeautifulSoup
2. NumPy
3. pandas
4. Folium
5. Matplotlib
6. geocoder

Data scraped from https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M

The clusters found can be used for different promotional activites including customising offers based on the clusters.