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Feature Engineering With Messy Data

Medium
Machine Learningmissing valuesData QualityFeature EngineeringAsked 1 times

Problem

Describe how you would approach feature engineering if the client's raw data is highly unstructured and missing key values at Amaris Consulting.

Practicing as: Data Scientist interview at Amaris Consulting

Hi, I'll play your Amaris Consulting interviewer for the Data Scientist role. Candidates describe these interviews as mixed and moderately difficult, so expect me to be professional and fair. Take your time with the question above and answer like we're in the room.

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