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
Classwith acceptable values as 0 or 1.
The dateTime column contains mix of null values and actual Dates in the format
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!