icheft/ibm-applied-data-science-capstone

Applied Data Science Capstone Project held by IBM on Coursera

Applied Data Science Capstone

Updates • Course Syllabus • The Battle of Neighborhoods • References

Updates

Course Syllabus

Week 1 - Introduction to Capstone Project

• Introduction to Capstone Project
• Location Data Providers
• Signing-up for a Watson Studio Account
• Peer-review Assignment: Capstone Project Notebook

Week 2 - Foursquare API

• Introduction to Foursquare
• Getting Foursquare API Credentials
• Using Foursquare API
• Lab: Foursquare API
• Quiz: Foursquare API

Week 3 - Neighborhood Segmentation and Clustering

• Clustering
• Lab: Clustering
• Lab: Segmenting and Clustering Neighborhoods in New York City
• Peer-review Assignment: Segmenting and Clustering Neighborhoods in Toronto

Week 4 & 5- Capstone Project

Applied Data Science Capstone

The Battle of Neighborhoods - A Look Around Universities in Taiwan

Brian L. Chen, Feb., 2021

• Report: https://github.com/icheft/IBM-Applied-Data-Science-Capstone/blob/master/IBM%20Data%20Science%20Capstone%20Project.pdf
• Notebook: https://nbviewer.jupyter.org/github/icheft/IBM-Applied-Data-Science-Capstone/blob/master/CAP-Analysis.ipynb
• Blogpost: https://icheft.github.io/2021/02/26/The-Battle-of-Neighborhoods-A-Look-Around-Universities-in-Taiwan/

References

• https://towardsdatascience.com/the-easiest-way-to-interpret-clustering-result-8137e488a127
• https://www.datanovia.com/en/lessons/determining-the-optimal-number-of-clusters-3-must-know-methods/
• https://github.com/g0v/twgeojson