Discussion RoomCategory: BigdataWhat is PCA?
Ashly asked 4 weeks ago

What is PCA in ML?
PCA stands for Principal Component Analysis. It is a dimensionality-reduction technique which mathematically transforms a set of correlated variables into a smaller set of uncorrelated variables called principal components. Applications of PCA are Noise reduction, Preprocess, Compression.

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