Abstract
Avoiding gathering due to the COVID-19 pandemic during travel became another important consideration for people nowadays. They prefer to get their own vehicle for travel. The price of a new car is not always affordable for a large number of common people. That’s why the demand for the used car came into the market hugely. Here in this work, a model for predicting car price is proposed by considering some single important predictor variable as well as considering all important variables at a time well. The important variables found by checking correlation are used to make prediction models. First tried with individual linear regression model and calculated the mean predicted price. Next MLR model considers all the attributes at once to find the predicted price. One polynomial model is also prepared and finally, they are evaluated for suitability. The models are tested with the most classical in-sample and out-sample evaluation parameters. The results of the data set, taken from UCI machine learning library, are very interesting.
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Roy, A., Ghosh, D. (2023). Learning-Based Data Science Model for Car Price Prediction. In: Mukhopadhyay, S., Sarkar, S., Mandal, J.K., Roy, S. (eds) AI to Improve e-Governance and Eminence of Life. Studies in Big Data, vol 130. Springer, Singapore. https://doi.org/10.1007/978-981-99-4677-8_10
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