In this paper, we look at how supervised machine learning techniques can be used to forecast car prices in India. Data from the online marketplace quikr was used to make the predictions. The predictions were made using a variety of methods, including multiple linear regression analysis, Random forest regressor and Randomized search CV. The predictions are then analyzed and compared to determine which ones provide the best results. A seemingly simple problem turned out to be extremely difficult to solve accurately. All of the strategies yielded similar results. In the future, we want to make predictions using more advanced technologies.
Multiple linear regression, Random forest, Randomized search CV and Supervised learning
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