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hello all today well be discussing about the principal component analysis principal component analysis is not a machine learning algorithm but it is a technique which is used for reducing the dimensionality suppose if we take a dataset which is having around three columns or three independent features and if you want to convert that three independent features into two independent features by using a new vector space and that time we can actually use this principal component analysis so not only with three independent features any number of independent features and if you are trying to actually reduce those number of features to the number that you want you can actually use this principal component analysis so this technique usually involves creating lot of vector space or you can say no number of independent components based on the components on or the number of dimensions that you want we can convert any dimension into that particular dimensions so before moving ahead guys please do