Ashly asked 5 years 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.