ISBN: 9786206739272 - sales prediction analysis in stop store: sales prediction analysis in stop store based on machine learning algorithms (7 resultados)

Condición: New.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The sales volume and revenue numbers for each individual product is now tracked by large supermarket run-centers known as Big Marts, in order to forecast possible domestic consumption and revise inventory control. By exploring the database server of the data warehouse, inconsistencies and broad patterns are frequently found. The statistics may be utilised by businesses like Big Mart to forecasting potential product sales using a variety of methods involving machine learning. In this project, we have used multiple machine learning algorithms like Linear Regression, Ridge regression, Lasso Regrssion, Decision Tree Regression, Random Forest Regression, Support Vector Regressor, Adaboost Regressor, XGBoost Regression to predict the sales of the products in the Big Mart. We observe that among the mentioned algorithms XGBoost Regression works best in predicting the sales volume. Hence we have created a model using XGBoost Regression and fine tuned it to further improve the accuracy. 96 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The sales volume and revenue numbers for each individual product is now tracked by large supermarket run-centers known as Big Marts, in order to forecast possible domestic consumption and revise inventory control. By exploring the database server of the dat.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The sales volume and revenue numbers for each individual product is now tracked by large supermarket run-centers known as Big Marts, in order to forecast possible domestic consumption and revise inventory control. By exploring the database server of the data warehouse, inconsistencies and broad patterns are frequently found. The statistics may be utilised by businesses like Big Mart to forecasting potential product sales using a variety of methods involving machine learning. In this project, we have used multiple machine learning algorithms like Linear Regression, Ridge regression, Lasso Regrssion, Decision Tree Regression, Random Forest Regression, Support Vector Regressor, Adaboost Regressor, XGBoost Regression to predict the sales of the products in the Big Mart. We observe that among the mentioned algorithms XGBoost Regression works best in predicting the sales volume. Hence we have created a model using XGBoost Regression and fine tuned it to further improve the accuracy.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The sales volume and revenue numbers for each individual product is now tracked by large supermarket run-centers known as Big Marts, in order to forecast possible domestic consumption and revise inventory control. By exploring the database server of the data warehouse, inconsistencies and broad patterns are frequently found. The statistics may be utilised by businesses like Big Mart to forecasting potential product sales using a variety of methods involving machine learning. In this project, we have used multiple machine learning algorithms like Linear Regression, Ridge regression, Lasso Regrssion, Decision Tree Regression, Random Forest Regression, Support Vector Regressor, Adaboost Regressor, XGBoost Regression to predict the sales of the products in the Big Mart. We observe that among the mentioned algorithms XGBoost Regression works best in predicting the sales volume. Hence we have created a model using XGBoost Regression and fine tuned it to further improve the accuracy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.…