Hi Machine Learners, Again I need your favour for Data Anaysis on My final year projects.
My Meta Data Labels are "city","country","birthdate","education","gender","houseowner","marital_status","member_card","num_cars_owned","num_children_at_home","occupation","postal_code","state_province","total_children","yearly_income","product_name" You may notice that this is a customer and his transaction mapping data of a shopping mall. Class Label is : product_name Problem: My issue is I need to find the interest classes from my data which contains the above headers. then If a new customer come to the mall I may predict which item he will looking for using Multi Class Multi Label Classification. Could Any one there to help to me ? Looking forward your reply ML Team Thank you Regards. *M. Nifras Ismail* [image: LinkedIn] <http://lk.linkedin.com/pub/nifras-ismail/54/343/94b> Sent with MailTrack <https://mailtrack.io/install?source=signature&lang=en&[email protected]&idSignature=22>
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