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Add PCA notes.
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emirkmo committed Sep 24, 2023
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# PCA

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.

Eigen vector and eigen value for deeper understanding.

Just use sklearn.
I published a paper on this so need for more.

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