if i understand this correct, im torn whether this would be an opportunity for kedro devs, the community or package devs themselves. for most of the 'standard datascience tasks' you need to select a 'standard' package and 'standard' approach of assumptions. i can see the magic of 'give me a 'merge three tables from sql and do some data prep in between plus a description report in the end' or 'give me a goldstandard binary classification ml pipeline', where you would just have to fill in some blanks, but the techstack would have to be chosen, all the code would have to be written and to be maintained by someone. from what i see this is not in the scope of kedro itself. but interesting nonetheless.