Capstone Project – The Battle of Neighbourhood | Finding a Better Place in Scarborough, Toronto
2. Data Section
To compare the similarities of two cities, we decided to explore neighbourhoods, segment them, and group them into clusters to find similar neighbourhoods in a big city like New York and Toronto. To be able to do that, we need to cluster data which is a form of unsupervised machine learning: k-means clustering algorithm.