UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2203429


Registration ID:
321638

Page Number

e219-e223

Share This Article


Jetir RMS

Title

Diwali Sales prediction using machine learning

Abstract

Understanding the purchase behavior of various customers (dependent variable) against different products using their demographic information (IS features where most of the features are self – explanatory). This dataset consists of null values, redundant and unstructured data. Machine learning is the most common application in the domain retail industry. This concept helps to develop a predictor that has a distinct commercial value to the shop owners as it will help with their inventory management, financial planning, advertising and marketing. This entire process of developing a model includes preprocessing, modeling, training testing and evaluating. Hence, frameworks will be developed to automate few of this process and its complexity will be reduced. The algorithm that we will be using is Random forest Regression approach which is the one of the most important Supervised Machine Learning algorithm.

Key Words

Sales Prediction, Data Analysis, Random Forest Regressor, Testing and Training

Cite This Article

"Diwali Sales prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.e219-e223, March-2022, Available :http://www.jetir.org/papers/JETIR2203429.pdf

ISSN


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

"Diwali Sales prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppe219-e223, March-2022, Available at : http://www.jetir.org/papers/JETIR2203429.pdf

Publication Details

Published Paper ID: JETIR2203429
Registration ID: 321638
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: e219-e223
Country: , , .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000803

Print This Page

Current Call For Paper

Jetir RMS