I’m tiring to build a recommendation system using python that recommends different types of credit card for new customers. the data set contains 8 columns.
ID Salary AGE GENDER EMPLOYED MARRIED HAVE_CREDIT_CARD CREDT_CARD_TYPE 1 1000 25 F Y N Y 2 2 900 31 M Y Y Y 6
should I use content filtering or collaborative filtering what is the difference? also can you guys give me some guidelines on how to begin