Second Hand Price Prediction for Tesla Vehicles

The Tesla vehicles became very popular in the car industry as it was affordable in the consumer market and it left no carbo foot print. Due to large decline in the stock prices of Tesla Inc. at the beginning of 2019, Tesla owners started selling their vehicles in the used car market. This used car prices depended on attributes such as, model of the vehicle, year of production, miles driven and the battery used for the vehicle. Prices were different for a specific vehicle in different months. In this paper, it is discussed how a machine learning technique is being implemented in order to develop a second hand Tesla vehicle price prediction system. To reach this goal, different machine learning techniques such as decision trees, support vector machine (SVM), random forest and deep learning were investigated and finally was implemented with boosted decision tree regression. I future, it is intended to use more sophisticated algorithm for a better accuracy. Keywords—SVM, Booted decision tree regression, Random forest, Second hand price prediction, Tesla vehicle