Persistent Homology | Introduction & Python Example Code

🤝 Want your team maximizing Claude? I run 1:1 and team AI workshops for companies doing $1M+ per year: https://aibuilder.academy/yt/5ezFcy9CIWE 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 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