Problem Statement -
You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall revenue/Sale generation of the Store.
Dataset Details- The data has 8523 rows of 12 variables.
Dataset Description -
Variable - Description
Item_Identifier- Unique product ID
Item_Weight- Weight of product
Item_Fat_Content - Whether the product is low fat or not
Item_Visibility - The % of total display area of all products in a store allocated to the particular product
Item_Type - The category to which the product belongs
Item_MRP - Maximum Retail Price (list price) of the product
Outlet_Identifier - Unique store ID
Outlet_Establishment_Year- The year in which store was established
Outlet_Size - The size of the store in terms of ground area covered
Outlet_Location_Type- The type of city in which the store is located
Outlet_Type- Whether the outlet is just a grocery store or some sort of supermarket
Item_Outlet_Sales - Sales of the product in the particulat store. This is the outcome variable to be predicted.