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April-2024
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2404C43
Registration ID:
535918
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Title
Forecasting Big Mart Sales Using Machine Learning
Abstract
The analysis of Big Mart sales using machine learning algorithms involves studying past sales data to predict future trends. By employing ensemble models such as XGBoost Regressor ,Random Forest regressor and XGBRF Regressor. we aim to uncover patterns that can help anticipate sales fluctuations. These predictive models offer valuable insights for optimizing inventory and ultimately enhancing overall business performance in the retail sector.
Key Words
XGBoost Regression , Random Forest Regression, XGBRF Regression.
Cite This Article
"Forecasting Big Mart Sales Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.m328-m331, April-2024, Available :http://www.jetir.org/papers/JETIR2404C43.pdf
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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Forecasting Big Mart Sales Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppm328-m331, April-2024, Available at : http://www.jetir.org/papers/JETIR2404C43.pdf
Publication Details
Published Paper ID: JETIR2404C43
Registration ID: 535918
Published In: Volume 11 | Issue 4 | Year April-2024
Page No: m328-m331
Country: Bapatla, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2404C43
Published Paper PDF: https://www.jetir.org/papers/JETIR2404C43
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