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How to analyze retail dataset with the text/categorical variables?


I am in currently in the final year of my Business Economics(MBA) course. I am involved in the project/competition where clustering and predictive modelling is to be done on a retail dataset having text( type of discount and coupon applied) and categorical variables.

Can anyone suggest me the source to get an idea so that I can proceed with it? Currently using kaggle competition kernels to get an idea how to analyze such datasets.

If anyone is interested in this competition, we can form a team and start working on it.

Help is needed.


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Just a couple of resource suggestions that may be helpful: is a pretty good cloud based environment with lots of tutorials that is an alternative to kaggle kernals; also has a lot of helpful information oriented to business that is subscription based and has a inexpensive trial offer.   These are only suggestions and may require more time than you have to be useful.

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