This dataset has been created from a query done on an website specialized in used cars and contains 1538 rows
Description of colums:
model: Fiat 500 comes in several 'flavours' :'pop', 'lounge', 'sport'
engine_power: number of Kw of the engine
ageindays: age of the car in number of days (from the time the dataset has been created)
km: kilometers of the car
previous_owners: number of previous owners
lat: latitude of the seller (the price of cars in Italy varies from North to South of the country)
lon: longitude of the seller (the price of cars in Italy varies from North to South of the country)
price: selling price (the target)
I collected this dataset to train myself and test regression algorithms. Hope this can help people to train as well.