Prediction of used cars prices using machine learning algorithm
DOI:
https://doi.org/10.54228/mjaret0923003Keywords:
Linear Regression, Random Forest, Gradient BoostingAbstract
New automobiles have a few challenges in reaching potential customers as a result of the considerable growth in car usage, including high prices, a lack of availability, and financial limitations. The global market for used cars has grown as a result. The used automobile industry in India, on the other hand, is still mostly unorganized and undeveloped, raising worries about shady pricing techniques. In order to solve this problem, a Supervised learning-based Random Forest Machine Learning model that can accurately analyze car datasets has been developed. Additionally, a user interface has been created that collects user input and shows the car's pricing based on the inputs.
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