In this project I use data from Foursquare API and Transport for New South Wales Open Data Hub and Kmeans clustering alogrithim to cluster neighborhoods of Sydney based on their urban developmentt. This gives us some interesting insights into city's growing urban footprint.
- Applied Data Science Capstone Week 4- Introduction - Partial Report. Intrtoduction and Data.
- Applied Data Science Capstone Week 5-Complete Project Report - Full Project Report
- Applied Data Science Capstone Week 5- Complete Project Notebook - Python Code
- Applied Data Science Capstone Week3- Segmenting and Clustering Toronto Neighborhoods - Kmeans clustering for city of Toronto
- area_location.csv
- area_venues.csv
- Population by travel zone 2011-2056.csv
- expanding_neighborhoods_sydney.html
- mapnsw.html
Comparison of different ML algorithms for a Loan Prediction Problem