Svd, Singular Values, Eigenvalue, Eigenvectors, Sklearn.
matrix:\n {}".format(U@Σ@V_transpose)) print("Original Matrix:\n{}".format(A)) We have obtained these decomposed matrices but how do we calculate them? We know that U and V are orthogonal matrices therefore using their characteristics, the SVD decomposition problem is transformed into an eigenvalue