Data Science, Linear Algebra, Dimensionality Reduction, Math.
principal components, let’s say “s” of them. Now you have selected numbers of principal components matrix Q_s. In the end, if you want to project the original data matrix onto the principal component's axes, you would just multiply the data matrix with the above principal component matrix to get