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Principal Component Analysis (PCA)

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Principal Component Analysis in ML

May 7, 20232 min read

Key points: Covariance, Linear Transformation,Eigenvectors, Eigenvalues ยท In short,PCA(Principal Component Analysis) is a dimensional reduction technique...