Big Mart Sales Prediction Using Machine Learning

Machine Learning has several category of algorithms that allows software applications to be more accurate in predicting results without being explicitly programmed.In this paper, the case of Big Mart, a one-stop-shopping center, has been discussed to predict the sales of different attributes, item varieties and for understanding the effects of different factors on the items' sales.Considering various aspects of a dataset collected for Big Mart, methodology followed for constructing a predictive model, highly accurate results are generated, and these observations can be employed to take decisions to improve sales.