Features selection is a very important part of machine learning development, It allows you to keep your models as simple as possible keeping at the same time, as much information as possible. Unfortunately, sometimes it can require high mathematical knowledge and good practical skills in programming. However, at Sigmoid we decided to build a library that will make feature selection as easy as implementing models in sci-kit learn.

#p-value #machine-learning #artificial-intelligence #feature-selection #sigmoid

Find features that really explains your data with Kydavra PValueSelector
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