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Research Paper | Mathematics | India | Volume 12 Issue 1, January 2023 | Popularity: 4.8 / 10
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
Edition: Volume 12 Issue 1, January 2023
Pages: 1305 - 1310
DOI: https://www.doi.org/10.21275/SR23109085518
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Mathematics, India, Volume 9 Issue 1, January 2020
Pages: 99 - 102On Differentiability and Integrability of Rings
S. R. Gaikwad, A R Gotmare
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Mathematics, India, Volume 9 Issue 1, January 2020
Pages: 113 - 117A Mathematics Letter Lecture Note on Some Variety of Algebraic Γ-Structures
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Mathematics, Iraq, Volume 7 Issue 1, January 2018
Pages: 6 - 11Convergence Weakly to Asymptotic Common Fixed Point Theorems for Different Types of Proximal Point Schemes
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Mathematics, India, Volume 8 Issue 2, February 2019
Pages: 2012 - 2015Application of Maths in Real Life
Partibha Gupta
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Mathematics, India, Volume 9 Issue 5, May 2020
Pages: 762 - 765Linear Programming Problem for Maximization of Profit in Rubber Manufacturing and Molding Industry: A Case study of Shreyas Rubber Products
M. V. Deshmukh