The increase in new cars and customers' economic inability, global sales of old cars are expanding. As a result, there exists a pressing need for a second-hand automobile method for predicting prices that accurately calculates the value of a car based on number of factors. In the current circumstance, the existing system involves a mechanism in which a seller sets a price at random and the buyer has no knowledge of the car or its value. In fact, the seller doesn't even know the current value of the car or the price at which the car should be sold. To solve this problem, we have developed a very effective model. Regression algorithms are used to provide continuous values as output rather than classified values. This allows for the prediction of the car's real price rather than its price range.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Used Car Price Prediction Using Machine Learning



    Erschienen in:

    Erscheinungsdatum :

    27.02.2023


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Dynamic Flight Price Prediction Using Machine Learning Algorithms

    Gupta, Chitranjan Kumar / Nath Kushwaha, Om / Yadav, Ayush Singh et al. | IEEE | 2022


    Prediction of Airline Ticket Price Using Machine Learning Method

    Hüseyin Korkmaz | DOAJ | 2024

    Freier Zugriff


    Machine learning modeling for reconditioned car selling price prediction

    Abdullah, Fatema / Rahman, Md. Ataur / Shidujaman, Mohammad et al. | SPIE | 2023

    Freier Zugriff

    Enhancing Used Car Price Predictions with Machine Learning-Based Damage Detection

    Kulkarni, Radhika V. / Thopate, Kaushalya / Khatib, Fatima et al. | IEEE | 2024