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?