Missing Housing Data

17

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We want to build a model to predict housing prices in the city of Seattle. We’ve scraped 100K sold listings over the past three years but found that around 20% of the listings are missing square footage data.

How do we deal with the missing data to construct our model?

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Machine Learning

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Position

Data Analyst

Data Scientist

Data Engineer

Machine Learning Engineer

Difficulty

Medium

Success

N/A

Date added

This question was added to Interview Query on June 17, 2019

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This question has appeared in interviews at 8 companies.

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