ML Knowledge

What did you use to remove multicollinearity? Explain what values of VIF you used?

Data Scientist

Asana

TikTok

Amazon

InVision

Databricks

Amadeus

Did you come across this question in an interview?

  • What did you use to remove multicollinearity? Explain what values of VIF you used?
  • How did you mitigate multicollinearity, and what was your threshold for VIF?
  • What methods have you employed to tackle multicollinearity in your models?
  • Could you discuss how you resolved multicollinearity issues?
  • How do you handle multicollinearity and what VIF values do you consider acceptable?
  • What strategies did you use to eliminate multicollinearity and what VIF cut-off did you set?
  • In what ways have you dealt with multicollinearity in regression analysis?
  • What was your approach to removing multicollinearity from your predictive models?
  • How do you identify and rectify multicollinearity in your datasets?
  • Explain your process for dealing with multicollinearity and your choice of VIF values.
  • Which techniques did you apply to address multicollinearity in your data?
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Interview question asked to Data Scientists interviewing at Outbrain, Amazon, Databricks and others: What did you use to remove multicollinearity? Explain what values of VIF you used?.