Machine Learning model to predict price of a second hand car
The details of the train and test data is
Name: The brand and model of the car. Location: The location in which the car is being sold or is available for purchase. Year: The year or edition of the model. Kilometers_Driven: The total kilometres driven in the car by the previous owner(s) in KM. Fuel_Type: The type of fuel used by the car. Transmission: The type of transmission used by the car. Owner_Type: Whether the ownership is Firsthand, Second hand or other. Mileage: The standard mileage offered by the car company in kmpl or km/kg Engine: The displacement volume of the engine in cc. Power: The maximum power of the engine in bhp. Seats: The number of seats in the car. New_Price: The price of a new car of the same model. Price: The price of the used car in INR Lakhs