I was learning principal component analysis a few years back which uses Eigenvectors to reduce feature dimensions while minimizing information loss (sorry if I

I was learning principal component analysis a few years back which uses Eigenvectors to reduce feature dimensions while minimizing information loss (sorry if I butchered this) I was really struggling to grok what Eigenvectors and Eigenvalues were and found this video to be the best intuition primer. I wish I had 3b1b when I was in high school and college