Predict the selling price of car using regression. Dataset used is of car dekho website which is a platform for buying and selling cars.
Code is meant for beginners and have used only linear regression and has checks for assumptions of linear regression.
Data contains following features:
name: Name of the car
year: year of purchase
selling_price: selling price of car. (our target variable)
km_driven: Number of kms driven
fuel: fuel type ( PETROL, DIESEL, CNG, LPG )
seller_type: (Individual, Dealer, Trustmark dealer)
transmission: (Manual, Automatic)
owner:(First owner, Second Owner, Third Owner, Fourth and above, test drive car)
mileage: mileage it gives in kmpl
engine: CC of engine
max_power: max power measured in bhp
torque: traction in engine design
seats: Number of seats in car