Prediction of Price of Pre-owned cars with the help of car model, how long distance it have covered, whether it is in running condition or not, car's model, fuel_type etc
Storm Motors is an e-commerce company who act as mediators between parties interested in selling and buying pre-owned cars,
For the year 2015-2016, they have recorded data about the seller and car including- Specification details Condition of car Seller details Web advertisement details Make and model information Price
Storm Motors wishes to devlope an algorithm to predict the price of the cars based on various attribute associated with the car.
dateCrawled- date when the ad first crawled, all field values are taken from this date
name- string consisting of car's name, brand, model etc.
seller- nature of seller
offerType- whether the car is on offer or not
price- price on the ad to sell the car
abtest- two version of ad
vehicleType- type of cars
yearOfRegistration- year in which car was registered
gearbox- type of gearbox
powerPS- power of the car (in HP)
model- model type of cars
Kilometer- No. of kilometer the car have travelled
monthOfRegistration- month of registartion
fuelType- type of fuel car use
brand- make of car
notRepairedDamaged- Status of repairing of daamges if yes damages have not been rectified; if no damage were taken care of
dateCreated- date at which the ad at storm motor was created
postalCode- postal code of seller
lastSeen- when the crawler saw this ad last online