Inspiration
What it does
The objective is to build a predictive model and discover the sales of each product at their respective store.
How we built it
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 find out the sales of each product at a particular store.
Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Challenges we ran into
We’ll be performing some basic data exploration here and come up with some inferences about the data. We’ll try to figure out some irregularities and address them in the next section.
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