Big Mart Sales Prediction using Machine Learn...

Big Mart Sales Prediction using Machine Learning algorithms

Author Name : Dr. D. J. Ashpin Pabi, T. Jaya Vamsidhar reddy, G. Jyothi Swaroop reddy

ABSTRACT

Estimating destiny income is the major aspect of the numerous distributions, manufacturing, advertising and wholesaling companies involved. This helps businesses to allocate capital effectively, to predict realistic sales in addition to put together a higher plan for potentially increasing the business. In this paper, estimating product income from a single outlet is carried out using a XG booster method which provides higher predictive results compared to a linear regression model and random forest regression model. This method is carried out on data from Big-Mart Sales where data discovery, processed and sufficient relevant data is extracted which play a vital role in predicting accurate outcome.

Keywords: Machine Learning, Sales Prediction, Big Mart, Random Forest, Linear Regression, XG Booster.