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Car’s Selling Price Prediction using Random Forest Machine Learning Algorithm

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Document pages: 8 pages

Abstract: India has one of the biggest automobile markets all over the globe every day many buyers usually sell their cars after using for the time to another buyer, we call them as 2nd 3rd owner etc. Many platforms such as cars24.com, cardekho.com and OLX.com provides these buyers with a platform where they can sell their used cars, but what should be the price of the car, this is the toughest question ever. Machine Learning algorithms can bring a solution to this problem. Using a history of previously used cars selling data and using machine learning techniques such as Supervised Learning can predict a fair price of the car, here I also used machine learning algorithms such as Random Forest and Extra Tree Regression along with powerful python library Scikit-Learn to predict the selling price of the used car. The result has shown that these both algorithms are highly accurate in prediction even the dataset is large or small, irrespective of the size of the dataset they give a precise result.

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