{"id":6295,"date":"2025-04-02T18:20:40","date_gmt":"2025-04-02T12:50:40","guid":{"rendered":"https:\/\/www.bhumipublishing.com\/jsri\/jsri-issue\/pre-owned-car-price-prediction-a-machine-learning-approach\/"},"modified":"2025-04-02T18:20:40","modified_gmt":"2025-04-02T12:50:40","slug":"pre-owned-car-price-prediction-a-machine-learning-approach","status":"publish","type":"jsri-issue","link":"https:\/\/www.bhumipublishing.com\/jsri\/jsri-issue\/pre-owned-car-price-prediction-a-machine-learning-approach\/","title":{"rendered":"PRE-OWNED CAR PRICE PREDICTION: A MACHINE LEARNING APPROACH"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>The valuation of pre-owned cars is a crucial aspect of the used car market, where accurate price estimation can help buyers and sellers make informed decisions. This study employs Machine Learning (ML) techniques to develop a predictive model for estimating resale values. A dataset of used cars is processed through data cleaning, feature encoding, and exploratory data analysis to identify key factors affecting car prices, such as brand, mileage, fuel type, and transmission type.<\/p>\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","issues_type":[36],"class_list":["post-6295","jsri-issue","type-jsri-issue","status-publish","hentry","issues_type-vol-11-1-2025","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"ptb_metabox":{"ptb_jsri_issue_upload_pdf":{"url":["https:\/\/www.bhumipublishing.com\/jsri\/wp-content\/uploads\/2025\/04\/9.-Car-Price-Prediction-System.pdf"],"title":[""]},"ptb_jsri_issue_author":"Thanu V. Marnholkar, Suraj Vithoba Salam, A. M. Chopade, L. G. Mulik and N. S. Kulkarni","ptb_jsri_issue_keywords":"Pre-Owned Car Price Prediction, Machine Learning, Linear Regression, R2_score"},"ptb_taxonomy":{"issues_type":[{"term_id":36,"name":"Vol. 11 (1) 2025","slug":"vol-11-1-2025","term_group":0,"term_taxonomy_id":36,"taxonomy":"issues_type","description":"","parent":0,"count":17,"filter":"raw"}]},"ptb_featured_image":null,"builder_content":"","_links":{"self":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/jsri-issue\/6295","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/jsri-issue"}],"about":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/types\/jsri-issue"}],"wp:attachment":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/media?parent=6295"}],"wp:term":[{"taxonomy":"issues_type","embeddable":true,"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/issues_type?post=6295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}