https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/#ProblemStatement
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and predict the sales of each product at a particular outlet.
Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales.
Please note that the data may have missing values as some stores might not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.
We have train (8523) and test (5681) data set, train data set has both input and output variable(s). You need to predict the sales for test data set.
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 particular store. This is the outcome variable to be predicted.,
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_Identifier Unique product ID, Outlet_Identifier Unique store ID, Item_Outlet_Sales Sales of the product in the particular store. This is the outcome variable to be predicted.