PCA Made Interactive : A Hands-On Visualization Tool | Data Scientist | ML AI Engineer
Автор: Amit Singh IITH
Загружено: 2025-12-06
Просмотров: 49
In this video, I explain Principal Component Analysis (PCA) in a simple and intuitive way. I’ve also built an interactive PCA tool using Streamlit to help you develop a strong visual understanding of covariance, eigenvalues, eigenvectors, and how dimensionality reduction actually works.
🎯 With this tool, you can click to create your own dataset, compute covariance matrices in real-time, visualize principal components, and see exactly how PCA transforms your data.
🔗 Try the PCA Interactive Tool
👉 Streamlit App: https://pca-explorer-rxtseuspnumbhlpx...
💡 What you’ll learn in this video
✔ What covariance means
✔ What eigenvalues and eigenvectors represent
✔ How PCA finds directions of maximum variance
✔ How dimensionality reduction works
✔ How to visualize PCA step-by-step
✔ Hands-on interaction with a custom PCA Explorer
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
