Kernel Density Estimation with Seaton Ullberg
Rustacean Station
00:00
Is There a Way That Katie Can Say, Okay, This Dimension Is Not Fit for This Kind of Model?
There are statistical techniques out there to do that. PCA principal component analysis is a super useful exploratory or data exploration technique, but it doesn't really have any crossover with Katie and whatever in my library. So they could be used in conjunction, but yeah, PCA is just the better technique for that kind of a jump.
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