Are there any limit to the amount of data to be processed by a Jupiter notebook running in the Machine Learning module?
I mean... can I for example load a pandas data frame with 2 billion rows ...or any crazy volume?
Is there going to be a cost associated with execution of a Jupiter notebook? or to the data volume processed or the cpu used?
TIA!