Variable/feature Selection | Stepwise, Subset, Forward & Backward selection| Machine Learning

Published: 21 May 2018
on channel: AnalyticsU

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Variable selection or Feature selection is a technique using which we select the best set of features for a given machine learning model. The same can be used in deep learning models as well.

In this video we have discussed about stepwise selection, subset selection, forward selection, backward selection & Shrinkage methords

We have also discussed about how dimension reduction technique such as principal component analysis is different from feature selection techniques

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