Prediction Of Used Car Prices Using Machine Learning Techniques

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Hence a high precision model is required which will estimate the price of a used car with none bias towards customer or merchandiser. In this model, A Supervised learning-based XGBoost Regression model are developed which can learn from the car dataset provided to it. This project presents a working model for used car price prediction with a low error value. A considerable number of distinct attributes are examined for reliable and accurate predictions. The results obtained agree with theoretical predictions and have shown improvement over models which use simple linear models.画面が切り替わりますので、しばらくお待ち下さい。
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