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Build predictive model to understand sales of important products

In this project, we will build a predictive model to find out the sales of each product at a particular store.
4.74.7

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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

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • Language used: Python

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 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.

Instructors

 
Shaik

Data Scientist / Business Consultant at GE

3 years of rich working experience in BIG Data, Business Intelligence & Analytics with CMMI Level 5 Organizations in BFSI, Manufacturing Sector. Excellent written and oral communications, strong analytical and problem solving capabilities. Constantly learning and experimenting emerging open source tools and technologie see more...