Predicting return renters I am trying to figure out an approach for calculating the probability of a renter making > 1 booking. I would prefer to use Python for this project. I have the following columns ready:
State, Category (fun, adventure, etc.), returning_renter? (TRUE if >= 1 booking).

What would be the most efficient approach for this project? Are there any particular Python libraries you would recommend?
You could trivially prototype your solution in Orange (it's a Python library that uses scikit-learn under the hood). It also has a neat GUI.

But with only two features (state and renting_reason), I'm afraid your models might not be as precise as you'd want them to be, unless you have lots of examples to learn from.