Some columns in the diabetes dataset are having many 0 values, which ideally should not be 0’s (like Glucose, SkintThickness). What approach/method should we follow in order to replace these 0 values with some approximated values?
0's in Diabetes Dataset?
Hi,
You don’t need to replace 0 with other values. We only replace NaN values in the dataset. And in this dataset we dont have NaNs. This 0 might be representing some important information. Maybe these are the labelEncoded values from categorical data or even continuous values, But we don’t want to replace these values with others.
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