ML Knowledge

What strategies would you recommend for managing categorical variables that exhibit high cardinality?

Machine Learning Engineer

Amazon

Asana

Udemy

Okta

Centrica

Addepar

Did you come across this question in an interview?

  • What strategies would you recommend for managing categorical variables that exhibit high cardinality?
  • How do you handle categorical features in your data that have a large number of distinct values?
  • Can you suggest effective methods for dealing with highly cardinal categorical data?
  • What are your approaches to address high cardinality in categorical datasets?
  • How would you approach the challenge of high-cardinality categorical data?
  • What techniques do you employ to manage categorical data with high cardinality?
  • Could you elaborate on the treatment of categorical data when faced with high cardinality?
  • What are the best practices for processing categorical data that has high cardinality?
  • How do you tackle the issue of high cardinality within categorical data fields?
  • How to deal with categorical data with high cardinality ?

Interview question asked to Machine Learning Engineers interviewing at Anaplan, Amazon, Okta and others: What strategies would you recommend for managing categorical variables that exhibit high cardinality?.