This dataset includes a variety of features related to cars, providing valuable insights into the factors influencing car prices and enabling the development of predictive models for estimating selling prices.
The dataset contains the following columns:
Car_Name: The name or model of the car.
Year: The year the car was manufactured.
Selling_Price: The price at which the car is being sold.
Present_Price: The current market price of the car.
Kms_Driven: The total kilometers driven by the car.
Fuel_Type: The type of fuel used by the car (e.g., Petrol, Diesel, CNG).
Seller_Type: The type of seller (e.g., Dealer, Individual).
Transmission: The type of transmission (e.g., Manual, Automatic).
Owner: The number of previous owners.
These attributes offer insights into the car market and can be leveraged for analyzing factors that affect car prices and building machine learning models for price prediction.