Saptashwa Bhattacharyya
1 min readSep 28, 2020

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Thank you for visiting. I would suggest you to check the correlation plot of the features at first. If you don't see strong correlations then you may skip using PCA in your machine learning pipeline. PCA is useful only when you have a lot of features and some/few are highly correlated. Best wishes!!

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Saptashwa Bhattacharyya
Saptashwa Bhattacharyya

Written by Saptashwa Bhattacharyya

PhD, Astrophysics. Using Deep Learning, Searching Dark Matter! https://www.linkedin.com/in/saptashwa

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