teddyoweh / dimensionality-reduction-pca Goto Github PK
View Code? Open in Web Editor NEWDimensionality reduction is basically a process of reducing the amount of random features,attributes variables or in this case called dimensions in a dataset and leaving as much variation in the dataset as possible by obtaining a set of only relevant features to increase the effiency of a model.