A model to predict the purchase amount of customer against various products which will help to create personalized offer for customers against different products.
About Dataset-
A retail company “ABC Private Limited” wants to understand the customer purchase behaviour. They have shared purchase summary of various customers for selected high volume products from last month.
Dataset Description-
Variable- Definition
User_ID -User ID
Product_ID- Product ID
Gender- Sex of User
Age- Age in bins
Occupation- Occupation (Masked)
City_Category- Category of the City (A,B,C)
Stay_In_Current_City_Years- Number of years stay in current city
Marital_Status- Marital Status
Product_Category_1- Product Category (Masked)
Product_Category_2- Product may belongs to other category also (Masked)
Product_Category_3- Product may belongs to other category also (Masked)
Purchase- Purchase Amount (Target Variable)