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Introduction to Dimensionality Reduction When working with machine learning types, we regularly face datasets with numerous options.It permits us to decrease the dimension of your data with out much reduction of information. PCA decreases the dimension by finding a handful of orthogonal linear combinations (principal parts) of the original variable