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Data imputation is the process of replacing missing data with substituted values. This could involve statistically representative data filling (e.g. local averages) or simply replacing the missing data with encoded values (e.g. replace NaNs with zeros).
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XGBoost - Imputing Vs keeping NaN
it is boring and repetitive to say - so sorry - but it depends what are you trying to predict and if it is make sense to do imputation at all. If you are trying to predict the car price probably it i …