Design an Automated Home-Price Valuation Model
AmazonData Scientist · Technical ScreenLast updated
Design an Automated Home-Price Valuation Model evaluates core ML concepts, assumptions, math intuition, training/evaluation trade-offs, and practical failure modes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Scenario
Building an automated house-price valuation service for a real-estate platform.
Question
Walk us through how you would design a home-price estimation model, covering: target metric definition, data collection, data splitting strategy, feature engineering, model selection, validation, deployment monitoring, and handling user complaints about prediction errors.
Hints
Discuss hit-rate style metric, multi-year sale history, time-based or geo split, comparable sales & economic indicators as features, baseline linear → tree models, suburb-level monitoring, and clear communication with users.
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