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@article{151705,
        author = {Ketan Agrahari and Ayush Chaubey and Mamoor Khan and Manas Srivastava},
        title = {Car Price Prediction Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {572-575},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151705},
        abstract = {The demand for used cars has increased significantly in the past decade and it is prognosticated that with Covid-19 outbreak this requirement will augment considerably. Hence to enhance the reliability, with the expansion of the used car market, a model that can forecast the current market price of a used automobile on the basis of a variety of criteria. This analysis can be used to study the trends in the industry, offer better insight into the market, and aid the community in its smooth workflow. The aim of this research paper is to predict the car price as per the data set (previous consumer data like engine capacity, distance traveled, year of manufacture, etc.). The result of these algorithms will be analyzed and based on the efficiency and accuracy of these algorithms, the best one of them can be used for the said purpose.},
        keywords = {Machine Learning, Linear Regression, Lasso Regression, Correlation.},
        month = {},
        }