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== How to deal with highly correlated variables? ==
== How to deal with highly correlated variables? ==
It is called collinearity and there are many tutorials right in the first google search. Though its only a problem for simpler ML algorithms you may want to dig deeper for EDA.
It is called collinearity and there are many tutorials right in the first google search. Though its only a problem for simpler ML algorithms you may want to dig deeper for EDA. - [[User:DG|DG]]
: In a way that's what the dimensionality reduction tries to achieve, it takes all the variables and rearranges them in a way by correlation between them, that's why in this case I end up with the three main directions (three groups of variables that are highly correlated with each other, two of those groups are in turn negatively correlated with each other). - [[User:Gedankenstuecke|Gedankenstuecke]] ([[User talk:Gedankenstuecke|talk]]) 09:52, 13 June 2022 (UTC)