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Chapter 13. Using principal component an... > Principal component analysis

13.2. Principal component analysis

Principal component analysis

Pros: Reduces complexity of data, indentifies most important features

Cons: May not be needed, could throw away useful information

Works with: Numerical values


We’ll first discuss some of the theory behind PCA, and then you’ll see how to do PCA in Python with NumPy.


  

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