How do you treat colinearity?
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Answer / Vikran Singh
Colinearity refers to the situation where multiple predictor variables are highly correlated. To address this issue, one can perform feature selection (selecting only relevant features), use regularization techniques like Lasso or Ridge regression, or create composite features that combine correlated variables.
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