This Project is intended to develop a model to predict the mileage of a car in the city.
Introduction: The dataset has 14 variables, of which, 6 are categorical and 9 are numerical. There are 428 observations in the dataset.
Variables in the Dataset
• Manuf: Manufacturer, Categorical
• Model: Car Model Name, Categorical
• Type: Segment based on size, Categorical
• Origin: Location of Production, Categorical
• DriveTrain: Type based on output of power, Categorical
• EngineSize: Size of the Engine based on a reference metric, Numerical
• Cylinders: Number of cylinders in the Engine, Categorical
• Horsepower: Output Power, Numerical
• MPG_City: Mileage in City, Numerical
• MPG_Highway: Mileage in Highway, Numerical
• Weight: Total Weight of the Car, Numerical
• Wheelbase: the distance between the front and rear axles, Numerical
• Length: Total length from hood to trunk, Numerical
• MSRP: Maximum Retail Price, Numerical