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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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Methodologies for predicting missing data
I have the following problem: I'm searching for methods to predict randomly missing data in a given dataset.
For example: I have a dataset which contains information about a person. This can be gend …