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Sales Prediction Analysis in Stop Store: Sales Prediction Analysis in Stop Store Based on Machine Learning Algorithms - Softcover

Venkata Naganjaneyulu, Dr. K; Roy, Dr. Avinash

 
9786206739272: Sales Prediction Analysis in Stop Store: Sales Prediction Analysis in Stop Store Based on Machine Learning Algorithms
Softcover
ISBN 10: 6206739279 ISBN 13: 9786206739272
Verlag: LAP LAMBERT Academic Publishing, 2023

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr K Venkata Naganjaneyulu presently working as a professor of CSE Dept in Lords Institute of Engineering and Technology (an autonomous institution), affiliated to Osmania University, Hyderabad, Telangana State, India. Dr K Venkata Naganjaneyulu worked  as a professor of CSE Data Science Dept in  StMary's Goup of Institutions, Hyderabad, JNTU, TS.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
6206739279
ISBN 13 
9786206739272
Einband
Taschenbuch
Anzahl der Seiten
96
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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