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what is PCA?
Principal Component Analysis (PCA) is a mathematical technique used to reduce the dimensionality of large datasets while preserving the most important patterns in the data.
It transforms the original high-dimensional data into a smaller set of new variables called principal components (PCs), which capture the most variation in …