• Mr. Abhinandan Singh Dandotiya

This work developed a method for forecasting auto prices using supervised machine learning. The research employed multiple linear regressions, a machine learning prediction method that achieved 98% accuracy. We evaluate the accuracy of our findings by comparing the predicted and actual value under a single label. A variety of factors, including make, model, fuel type, body material, location, and optional equipment (such alloy wheels) all contribute to the estimated prices shown in this document.

Multiple linear regression, Car price, regression model

"Car prize pridiction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.a751-a757, March-2023, Available :http://www.jetir.org/papers/JETIR2303091.pdf

"Car prize pridiction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppa751-a757, March-2023, Available at : http://www.jetir.org/papers/JETIR2303091.pdf