Lecture-46: Feature Selection with “Correlation” Method by Python

Published: 06 September 2021
on channel: PREM KUMAR BORUGADDA

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In this video, I explain,
-Correlation Based Method.
-Remove the features which are highly correlated.
-If independent features are highly correlated with a dependent variable then need not remove those kinds of correlated features.

-If independent features are highly correlated among independent variables by 80% or 90% then drop those kinds of features and train the model with the remaining features.

-This is the way we can remove the features.
With the help of a correlation matrix, we suppose to choose the features.

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