can you clarify how you remove correlated features about feature-selector

[ayush714]

Most variables are correlated with each other and thus they are highly redundant, let's say if you have two variables that are highly correlated, keeping the only one will help in dimensionality reduction and it doesn't cause that much loss of information.

One Question may arise you, Which Variable to keep?
Keep the one that has a higher correlation with the target variable.

[Sandy4321]

I see
but
Collinear Features
how you calculated collinearity for categorical values ?

[rajlm10]

Hi Sandy4321, I found a brilliant article that will help with your question : https://towardsdatascience.com/the-search-for-categorical-correlation-a1cf7f1888c9