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this project is made under the 2 month internship at Microsoft Education Partner Verzeo.The project focuses on predicting the costs of used cars given the data collected from various sources and distributed across various locations in India.r
Ananyaas/Data-Science-Project-1
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DATA SCIENCE PROJECT APRIL'2020 TO JUNE'2020 Problem Statement: You will be predicting the costs of used cars given the data collected from various sources and distributed across various locations in India. FEATURES: 1)Name: The brand and model of the car. 2)Location: The location in which the car is being sold or is available for purchase. 3)Year: The year or edition of the model. 4)Kilometers_Driven: The total kilometres driven in the car by the previous owner(s) in KM. 5)Fuel_Type: The type of fuel used by the car. 6)Transmission: The type of transmission used by the car. 7)Owner_Type: Whether the ownership is Firsthand, Second hand or other. 8)Mileage: The standard mileage offered by the car company in kmpl or km/kg 9)Engine: The displacement volume of the engine in cc. 10)Power: The maximum power of the engine in bhp. 11)Seats: The number of seats in the car. 12)New_Price: The price of a new car of the same model. 13)Price: The price of the used car in INR Lakhs.
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this project is made under the 2 month internship at Microsoft Education Partner Verzeo.The project focuses on predicting the costs of used cars given the data collected from various sources and distributed across various locations in India.r
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