IBM Professional Certificate Capstone Project
In this project, I used the unsupervised k-means algorithm to identify and group into clusters neighborhoods in Metropolitan Toronto and Montreal that share similar venues composition, and census attributes such as population density and median income of households. I Leveraged Foursquare API, a location data platform, to conduct a thorough search for venues in each of the neighborhoods in Metropolitan Toronto and Montreal.
In this repository, you will find 3 files: a Jupyter notebook, a pdf report, and the slides of a presentation in pdf format.