Nov 6, 2020
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
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
Data Scientist @ Natural Cycles (Switzerland). PhD, MSc, M.Eng. Bespoke services on demand