Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
Covariance Matrix Most data science practitioners know how and when to use PCA but only some really understand its eigenstuff core. The magic sauce of PCA is the covariance matrix and what it does for eigendecomposition. In SVD, we already touched on the covariance matrix but technically we weren’t