Hello community,
I am currently working on a dataset that contains a bunch of
- Numerical columns - Float type,
- Categorical columns (which i have converted into Pandas categorical numeric codes),
- A dateTime column and
- A predictor, which is also a category named
Class
with acceptable values as 0 or 1.
The dateTime column contains mix of null values and actual Dates in the format mm/dd/yyyy
For Continuous columns, imputing with median or performing KNNImputation works just fine. But for columns containing Date-time, I was wondering how should I handle NuLL values in such cases ?
Also, if there is any other feature engineering recommended for DateTime columns, I’m happy to learn that as well. Thanks!