AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
and fits it into the training data. Finally, it selects the number of components based on the desired variance explained and transforms the training and test data accordingly. Singular Value Decomposition (SVD) Singular Value Decomposition is a matrix factorization technique widely used in various