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2024 | OriginalPaper | Buchkapitel

Car Price Prediction Model Using ML

verfasst von : Kaushal Kishor, Akash Kumar, Kabir Choudhary

Erschienen in: Micro-Electronics and Telecommunication Engineering

Verlag: Springer Nature Singapore

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Abstract

Car manufacturing rates have climbed consistently over the previous decade, with million cars manufactured per year. This has given a significant boost to the vintage car market, whose is now entrenched as a thriving industry. The recent entrance of many internet portals and platforms has supplied buyers, customers, merchants, and vendors with the necessity to keep informed with the current situation and trends in order to know the true worth of a used automobile in the contemporary market. While there are several uses of machine learning in realistic life, one of their most apparent aspects is its usage in addressing prediction issues. Furthermore, there are an infinite variety of topics on which predictions can become made. This paper is about and revolves around a particular application. We will anticipate the market value of an obsolete vehicle using a machine learning method such as linear regression and construct a mathematical structure utilizing data that has been provided with a certain set of attributes.

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Vorheriges Kapitel Vehicle Classification and License Number Plate Detection Using Deep Learning

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Titel: Car Price Prediction Model Using ML
verfasst von: Kaushal Kishor
Akash Kumar
Kabir Choudhary
Verlag: Springer Nature Singapore
Buch: Micro-Electronics and Telecommunication Engineering
Print ISBN: 978-981-9995-61-5

Electronic ISBN: 978-981-9995-62-2

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-99-9562-2_6

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