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added example usage for multicollinearity #35
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Your documentation is clear. I recommend adding an interpretation of the results from your example.
For instance, you could list the features with high VIFs. Additionally, consider briefly concluding how check_multicollinearity
helps diagnose multicollinearity and guides decisions to refine the regression model (i.e. dropping the features).
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Please make the necessary changes to conform to Python styling conventions and to render the plot correctly in the notebook.
addressed comments in the latest commit |
Changes approved and merge conflict has been resolved. |
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