UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2209180


Registration ID:
502408

Page Number

b658-b661

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Title

Used-Car Price Prediction Using Machine Learning Technique

Abstract

Abstract: In this study, we investigated the feasibility of forecasting car prices in India using supervised machine learning methods. To produce the forecasts, data from the internet marketplace Olx.com was used. The forecasts were made utilising numerous techniques, such as Random forest and multiple linear regression analysis and CV of a random search. The forecasts are then examined and compared them to see which ones deliver the best outcomes. A seemingly straightforward issue proved to be very challenging to correctly tackle. All of the methods produced comparable outcomes. Future improvements we would like to make predictions made with more cutting-edge technology.

Key Words

KEYWORDS: Random Forest, Supervised learning, Randomized search CV and Multiple linear regression

Cite This Article

"Used-Car Price Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b658-b661, September-2022, Available :http://www.jetir.org/papers/JETIR2209180.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

"Used-Car Price Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb658-b661, September-2022, Available at : http://www.jetir.org/papers/JETIR2209180.pdf

Publication Details

Published Paper ID: JETIR2209180
Registration ID: 502408
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: b658-b661
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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