A Mathematical Viewpoint on Regression Modelling of Big Data Sales Analysis using Python

Dr. Vivek Parkash

Abstract: Mathematics is an integral part of data science. Data science utilizes mathematical background, as the machine learning models and algorithms require mathematics to get valuable insights from data. A consistent analysis of the sales is very crucial for the growth of any business. A detailed analysis of the sales, revenue and performance of a business helps it to unearth new opportunities and locate the problem areas of the business and therefore bringing new dimensions of opportunities leading to multidimensional growth prospects of the business. In this paper, I wish to analyze a case of big data analysis - the Big Mart sales analysis using Decision Tree, XG Boost, Linear and Random Forest machine learning Regression models and find out the correlation between various factors reflecting and influencing the sales and revenue of the business.

Keywords: Economics, Revenue, Regression, Label Encoder, Visibility, BigMart, Attributes