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# PCA | ||
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Each pc is projection that "explains" maximum variance. | ||
Used to be good for dimensionality reduction and compression | ||
, especiall during training or feature selection, | ||
but nowadays mainly used for visualization in AI/ML. | ||
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Eigen vector and eigen value for deeper understanding. | ||
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Just use sklearn. | ||
I published a paper on this so need for more. |