I'm falling in love with data science and I'm spending a lot of time studying it. It seems that a common data science workflow is:
Frame the problem
Collect the data
Clean the data
Work on the data
I am working on a binary classification problem and the dataset consists of several variables which are count variables. For example, how many times a customer defaulted on a broadband bill payment in ...