BigMart Sales Prediction Machine Learning Project

BigMart Sales Prediction Machine Learning Project

In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.

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SUBHABRATA BISWAS

Lead Consultant, ITC Infotech

The project orientation is very much unique and it helps to understand the real time scenarios most of the industries are dealing with. And there is no limit, one can go through as many projects... Read More

Dhiraj Tandon

Solution Architect-Cyber Security at ColorTokens

My Interaction was very short but left a positive impression. I enrolled and asked for a refund since I could not find the time. What happened next: They initiated Refund immediately. Their... Read More

What will you learn

Understanding about sales domain
Feature Engineering
Advanced Data Analysis
Regressor modeling Techniques
Hybrid modeling Techniques
Specific measure to Evaluate Model ‚Äč

Project Description

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 of this machine learning project is to build a predictive model and find out the sales of each product at a particular store.

Using this machine learning model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.

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Curriculum For This Mini Project

19-Nov-2016
02h 29m
20-Nov-2016
02h 32m