# Model with two targets(classification, regression)?

I have a dataset with features like Cylinders, Transmission, ExteriorColor, OdometerReading, StockType(New/Old), MakeModel, ModelYear, SoldYearMonth, CountSoldByMonth, Price, TopSelling.

Target column is 1 if a particular MakeModel is the top 5 selling vehicle in a month. So, given 60 months data I have to predict the next months top selling vehicles. I also have to predict the price go the vehicle. So I guess, I need to do both Classification and Regression .

MSRP   Cylinders   Transmission   ExteriorColor   OdometerReading   StockType     MakeModel            SoldYearMonth   CountSoldByMonth   Price   TopSelling
42098      8            MYC            Black           70348           Used    Chevrolet Tahoe            5/1/2019           10           39998     0
26390      4            MNK            Black            10             New      Buick Encore              5/1/2019           31           26390     1


and so on.. MSRP and Price are not always same.

How do I approach this problem?