Feature selection with LDA

This is relating to the article

As per the post, if the feature is continuous and target is categorical, the post suggest to use LDA.
But, LDA is dimension reduction technique/classifier algorithm. Can you please help how can I tweak the LDA for feature selection (in python).


Hi @Madhanlal,
LDA is a dimensionality reduction technique which reduces the dimension of the data. Feature selection is the process of selecting a set of features from the entire set of features. In feature selection as well, we are reducing the dimension of the data.
So the main objective of reducing the number of variables is achieved by using LDA as well.

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