Introduction to Dimensionality Reduction While dealing with machine learning styles, we regularly come across datasets with a large number of attributes.It will allow us to decrease the dimension of the data with no A lot reduction of data. PCA decreases the dimension by getting a couple of orthogonal linear mixtures (principal factors) of the init