Build a model to predict if a customer will return
You have been given a dataset of customer transactions and feedback for Stony Hill coffee house. let us analyse the data and build a model to predict if a customer will return based on the available variables.
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Build a data model with unique user ID's only
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For the unique userID data model: separate the genders, find the average amount spent, find average NPS
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Add a column with the word 'repeat' for repeated user ID and 'non-repeat' for unique user ID
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Build a model that predicts if a customer will return (repeat) using gender, amount spent and scores
= http://bit.ly/HospitalityDataset
or
Attached alongside this file is a data file named: ICX_masterclass-hospitality_data.csv