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Critique and Test Python Preprocessing Utilities Effectively

Capital OneData Scientist · Technical Screen
MediumData ScientistTechnical ScreenCoding & Algorithms

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This question evaluates a candidate's ability to review and critique Python preprocessing utilities, covering competencies in software design patterns (fit/transform separation), coding style and import hygiene, and unit-test specification for data-science pipelines.

Scenario

Code review of Python preprocessing utilities (OutlierHandler and three Imputer classes)

Question

Summarize, at a high level, what the OutlierHandler class accomplishes. Why is keeping fit and transform as separate methods advantageous? Identify and critique any coding-style or import problems found in the three Imputer classes. Hand-write one critical unit test you would add for OutlierHandler.

Hints

Think scikit-learn patterns, PEP-8, avoiding "from numpy import *", assert expected vs. actual.