Principle Component Analysis | PCA | Visual Explanation
About this lesson
In this video i have explained principle component analysis which is a method for dimentionality Reduction. It is an unsupervised learning algorithm which Creates new Axes by combining the different features using linear combination of the original features. I've explained it using visual animations. Video links: Eigenvalues and Eigenvectors:- https://www.youtube.com/watch?v=PFDu9oVAE-g Lineare Algebra course:- https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Eigenvalues:- https://www.youtube.com/watch?v=cdZnhQjJu4I If you're passionate about learning complex concepts in the simplest way possible, you're in the right place. I create visual explanations using animations to make topics more intuitive and engaging—especially in Algorithms, AI, machine learning, and beyond. 🎥 Animations created using Manim: Manim is an open-source Python library for creating mathematical animations. Learn more or try it yourself: 🔗 https://www.manim.community Let's Connect:- GitHub:- https://github.com/ByteQuest0 Reddit:- https://www.reddit.com/r/ByteQuest/
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