iyashk/Car-Price-Prediction
A Machine Learning Project that uses Random Forest Regressor model to predict used cars price based on some attributes such as kilometers driven, age, number of previous owners etc.
This project helps individuals assess the fair market value of a used car before buying or selling. You input details like the car's company, model, year, transmission, distance driven, fuel type, seller, and previous owner history. It then outputs a predicted price for the car. This is useful for anyone looking to make an informed decision when trading used vehicles.
No commits in the last 6 months.
Use this if you need a quick way to estimate the current market price of a used car based on its specific attributes.
Not ideal if you require a valuation method that incorporates real-time market fluctuations or regional pricing differences beyond the initial dataset.
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Jupyter Notebook
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Last pushed
Feb 08, 2023
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