naveen-chauhan / supermart-sales-prediction

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.

Bigmart-Sales-Prediction

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.