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Big Mart Sales Prediction Using ML by 563 K. Vaishnavi is a document available to read on EtoBox.

This document summarizes a project to predict sales at Big Mart supermarkets using machine learning algorithms. It includes an abstract describing how Big Mart currently tracks item sales data to forecast demand. A literature review covers past works using random forests and linear regression with less accuracy. The proposed system aims to develop a predictive model using XGBoost, linear regression, polynomial regression, and ridge regression techniques. The objective is to analyze and predict outlet produc

Author

563 K. Vaishnavi

Language

EN