Hi! Congratulations for your work, it is really inspiring. I have a question, in Lesson 3-4 when you work with Rossman Kaggle competitions data, you get amazing results.
But in my daily work, I usually face problems where clients do not only want to know what stores will sell more, but they also want to know why.
I have treated this problem as isolated feature importance using random forest and regressions to get the importance of each variable. My questions would be:
- How can we interpret these complicated and complex models we build?
- Is there a way to get the feature interaction importance? Something like stores with no nearby competitors sell a lot on weekends. I think this would be very useful for real applications, like knowing what factors combined can be the cause or a disease or things like that.
Thanks a lot once again for your incredible courses!