Computer scienceData scienceInstrumentsPandasData preprocessing with pandas

Working with missing values

Actions with NaNs

Report a typo

How can we deal with missing values?

Select one or more options from the list

Drop rows with NaNs

Drop columns with NaNs

Do nothing and proceed to train a model

Drop rows that consist of more than half of missing values and fill remaining NaNs with certain values

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