This was extremely helpful, thank you!

Perhaps you can help me with some follow-up questions:

- Let's imagine a standard excel sheet (a 2d array), with columns "A", "B", "C", "D" ... "Z".

1) Let's say I want to create a model, that takes this input: A single row where all columns have values, except for some (random) columns. I want it to autopopulate those columns with values that are most probable according to the data I trained it with. That is, _every_ column is both a "feature" and a "target". Is this possible?

2) Can I train the model by telling it this: "This input should DEFINITELY NOT confuse you" -- that is, can I "weigh" the inputs (or do I just put in more of them?)