Svd, Singular Values, Eigenvalue, Eigenvectors, Sklearn.
used to get decomposed matrices of SVD. Singular Value Decomposition(SVD) Theorem: SVD theorem states that every matrix can be decomposed into a sequence of three elementary transformations: a rotation in input space U, a scaling matrix Σ, and a rotation matrix in output space V. Where A is of size