I have a python pandas dataframe representing a superset. The data contains a lot of nulls which I want to overwrite with real values.
the superset has:
- both numerical and categorical data
- some nulls for most attributes
- multi class attributes (attributes can have multiple values)
- It is not time dependent
- each row is a unique person
It would be neat to use machine learning to fill in the nulls, any recommendations on how I can do this?
(I guess that I can tranform the categorical data to numerical if required)