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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
BIG MART SALES PREDICTION USING MACHINE LEARNING
Authors
Rohit Sav, Pratiksha Shinde, Saurabh Gaikwad
Keywords
Big Mart ,XG boost Regressor, Dataset, Data Exploring, Data Cleaning, Model Building.
Abstract
Nowadays shopping malls and Big Marts keep the track of their sales data of each and every individual item for predicting future demand of the customer and update the inventory management as well. These data stores basically contain a large number of customer data and individual item attributes in a data warehouse. Further, anomalies and frequent patterns are detected by mining the data store from the data warehouse. 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, 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 existing models.
IJCRT's Publication Details
Unique Identification Number - IJCRT2105404
Paper ID - 206939
Page Number(s) - d583-d586
Pubished in - Volume 9 | Issue 5 | May 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rohit Sav, Pratiksha Shinde, Saurabh Gaikwad, "BIG MART SALES PREDICTION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.d583-d586, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105404.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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