18 PCA: Principal Component Analysis

01.10.2021 - By Machine Learning with Coffee

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We discuss Principal Component Analysis as one of the most popular techniques to reduce the dimensionality of a dataset. PCA helps us be more efficient in terms of the number of variables we feed to our machine learning models. 

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