Thomas-George-T/A-Tale-of-Two-Cities
Clustering Neighborhoods of Paris and London using Machine learning. IBM Data Science Capstone
This project helps tourists, new residents, or those relocating within a city to understand and choose neighborhoods in London and Paris. By taking neighborhood names and venue data, it groups similar neighborhoods together, providing clear insights into their characteristics. Anyone planning a trip, considering a move, or even local businesses looking for community insights would find this useful.
No commits in the last 6 months.
Use this if you need to understand the distinct characteristics and offerings of different neighborhoods in London or Paris to make informed decisions about visiting or relocating.
Not ideal if you need a real-time recommendation engine or a tool for navigating transport and local events, as it focuses on static neighborhood characteristics.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 21, 2020
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