Car Price Dataset

This dataset contains various features of cars along with their corresponding prices. It is suitable for exploring and analyzing factors influencing car prices and for building predictive models to estimate the price of a car based on its attributes.

make: The brand or manufacturer of the car.

fuel-type: The type of fuel the car uses (e.g., gas or diesel).

aspiration: Refers to the method of air intake into the engine, typically either "std" (standard) or "turbo" (turbocharged).

num-of-doors: The number of doors the car has.

body-style: The body configuration of the car (e.g., sedan, coupe, hatchback).

drive-wheels: The type of wheels the car is equipped with (e.g., front-wheel drive, rear-wheel drive, four-wheel drive).

engine-location: Specifies where the engine is located in the car (e.g., front or rear).

wheel-base: The distance between the centers of the front and rear wheels.

length: The overall length of the car.

width: The width of the car.

height: The height of the car.

curb-weight: The weight of the car without passengers or cargo.

engine-type: The type of engine (e.g., dohc, ohcv).

num-of-cylinders: The number of cylinders in the engine.

1engine-size: The size of the engine in cubic centimeters (cc).

fuel-system: The type of fuel delivery system (e.g., mpfi, 2bbl).

bore: The diameter of each cylinder in the engine.

stroke: The length of the piston stroke in the engine.

compression-ratio: The ratio of the cylinder's volume at the bottom of the piston's stroke to the volume at the top.

horsepower: The power of the car's engine.

peak-rpm: The engine's peak revolutions per minute.

city-mpg: The miles per gallon the car can achieve in city driving conditions.

highway-mpg: The miles per gallon the car can achieve in highway driving conditions.

price: The price of the car.

Make sure to clean and preprocess your data appropriately, handling missing values (if any), encoding categorical variables, and scaling numerical features if needed. Good luck!