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The first part uses PCA to project (and transform the features) into a low dimensional space. The second part shows you how you can define feature importance of these features on the Principal Components (PC). Cheers

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Serafeim Loukas, PhD
Serafeim Loukas, PhD

Written by Serafeim Loukas, PhD

Data Scientist @ Natural Cycles (Switzerland). PhD, MSc, M.Eng. Bespoke services on demand

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