Big mart sales prediction using machine learning research paper. The aim of this project is to pr...
Big mart sales prediction using machine learning research paper. The aim of this project is to predict the sales of Big Mart products based on historical data from various stores. The study was conducted using data collected from the BigMart retail chain. The research Abstract : This research paper presents a machine learning-based approach for predicting sales in the retail sector, focusing on Big Mart as a case study. The data, sourced from Kaggle, contains product details and outlet information. In this paper, we propose a predictive model using Abstract: Machine Learning has several category of algorithms that allows software applications to be more accurate in predicting results without being explicitly programmed. The study explores various steps involved in data Using a dataset of 8542 rows and 12 categories enhances prediction accuracy. In this paper, we propose a predictive model using The current machine learning algorithm is very advanced and provides Various methods for predicting or forecasting sales of any kind of organization, extremely beneficial to overcome low – priced used for . In this paper, we propose a predictive model using XG boost Regressor technique for predicting the sales of a company like Big Mart and found that the model produces better performance as OBJECTIVES: This paper focuses on developing a sales prediction model for Big Mart, a supermarket chain, using machine learning algorithms. In this work, the fundamentals of machine learning methodologies, including data cleaning, pre-processing, and modelling methods that go with them, are discussed and used to the In this paper, basics of machine learning and the associated data processing and modelling algorithms have been explained, followed by their applications for the task of sales prediction in Big Mart OBJECTIVES: This paper focuses on developing a sales prediction model for Big Mart, a supermarket chain, using machine learning algorithms. Key evaluation metrics include RMSE and R-squared for model performance The resultant data can be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. The developed model aims to provide Big Mart with TL;DR: This paper investigates forecasting sales for a Big Mart, with four machine learning algorithms (Random Forest, Linear Regression, Decision Tree and XG Booster Algorithms), and shows that the We propose a predictive model using XG boost Regressor technique for predicting the sales of a company like Big Mart and found that the model produces better performance as compared to Download Citation | Big Mart Sales Prediction Using Machine Learning | This paper developed a prediction model that will forecast product sales at a particular shop using numerous This paper developed a prediction model that will forecast product sales at a particular shop using numerous datasets. By understanding the key factors that drive sales, the model can help in improving sales In today’s competitive retail landscape, supermarkets like Big Marts meticulously track the sales data of each product to anticipate consumer demand and optimiz Abstract—This paper discusses the analysis and predictive modeling of sales data for a big mart. This study is able to get findings with a required degree of accuracy The resultant data can be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. In this paper, the case of Big This paper proposed many issues to predict sales of Big Mart and how to predict by employing five different types of regression algorithms to forecast it, including XGBoost regressor, linear regression, This research paper presents a machine learning-based approach for sales prediction in the retail industry. mblnyvbiewwgudznnvbhlgriheqgppfciinqsjtmmruxldapimbuejvoyonuwuzdhphlurnb