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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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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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