I have data with customer personal information and customer transaction. I cannot figure out how to use the data for training my model?

Customer information attributes: ID Age Gender State etc

Customer transaction ID Store ID No of items bought State etc

Store info Store ID State Daily revenue Store size etc

I want to predict if customer will buy at a particular store or not/ So can I have the train data with suppose 5 different stores for every customer where the customer shops and then predict in other store?

Topic classification machine-learning

Category Data Science

1
answered at

Yes you can. On the files you have mentioned above i guess, you have merge the data. But keep in mind to remove redundant columns. After that you have to : * check if there are any missing values or null values * find the relation between one independent variable to other independent variable * find the relation between independent variable and the dependent variable

Then split the data into train set and test data and apply your model

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