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This is the final video in a 3-part series on topological data analysis (TDA). TDA is an up-and-coming approach to data analysis that studies the shape of data. In this video, I discuss a popular TDA approach called persistent homology.
Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosVi8Qoyqvz1MEiYrz35Zb7F
📰 Read more: https://medium.datadriveninvestor.com/persistent-homology-f22789d753c4?sk=c0925c51c31f5136abf362829c755146
💻 Example code: https://github.com/ShawhinT/YouTube-Blog/tree/main/TDA/persistent_homology
Resources I found helpful:
- TDA review: https://www.frontiersin.org/articles/10.3389/frai.2021.667963/full
- Intro to persistent homology: https://www.youtube.com/watch?v=2PSqWBIrn90&ab_channel=MatthewWright
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Homepage: https://shawhintalebi.com/
Introduction - 0:00
Shapes - 0:33
Triangles - 1:02
Simplexes - 1:54
Holes - 2:58
Persistent Homology - 4:14
Persistence Diagrams - 7:03
Example code: Homology of Market Data - 8:58