Applied Data Science Capstone - An IBM capstone project course for data scientists, working on real life data.
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Use location data and different location data providers, such as Foursquare.
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Make RESTful API calls to the Foursquare API made to retrieve data about venues in different neighborhoods around the world.
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Scrape web data, and parse HTML code, in situations where data are not readily available.
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Use Folium library to great maps of geospatial data and to communicate results and findings.
1) Segmenting and Clustering Neighborhoods in Toronto
- Neighborhoods in the city of Toronto are explored, segmented, and clustered.
- To access the notebook - Click Here
2) Exploring the Taste of NYC Neighborhoods
- The neighborhoods of New York City are categorically segmented into major clusters and their cuisines are examined
- To access the notebook - Click Here