Principal Component Analysis with NumPy

The key steps of PCA in practice using functions only from NumPy library. PCA is a technique commonly used for linear dimensionality reduction. The idea behind PCA is to find lower dimensional representations of data that retain as much information as possible.

Skills: PCA, NumPy, Python

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