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This article presents the initial analysis of pre-owned car pricing using machine learning techniques. We explore three approaches: classic linear regression, tree boosting, and quantile regression algorithms. The scope of the article includes comparing these models and understanding the underlying data structure.

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Price Estimation for Pre-owned Vehicles Using Machine Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Mariel Rivera,
  • Bruno Campos,
  • Adrián Galicia,
  • Enrique Noguera,
  • Hiram Ponce

摘要

This article presents the initial analysis of pre-owned car pricing using machine learning techniques. We explore three approaches: classic linear regression, tree boosting, and quantile regression algorithms. The scope of the article includes comparing these models and understanding the underlying data structure.