What is PCA and how is it different from SVD

@krikar wrote:

1. Can you guys please explain PCA in detail with a simple example (how orthogonal components are formed , Covariance Matrix).
2. The analytical workflow after PCA. Like if I have to do K-Means or run GAM after reducing the dimensions.

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