Predicting a car's market price using its attributes. The data set we will be working with contains information on various cars. For each car we have information about the technical aspects of the vehicle such as the motor's displacement, the weight of the car, the miles per gallon, how fast the car accelerates, and more. You can download the dataset directly from: https://archive.ics.uci.edu/ml/machine-learning-databases/autos/imports-85.data
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Predicting a car's market price using its attributes by the help of several Python's libraries including: pandas, numpy, skleran, and KNN classifier.
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