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Artifitial neural network for the Car Evaluation Data Set

The goal to be achieved in this project is to create a neural network which can successfully be trained to evaluate the given car dataset based on the provided attributes i.e. doors, persons ,lug boot, etc., and make predictions on the car's acceptability.

Accuracy: ~91%

Loss: ~0.02

The dataset used in this project was Car Evaluation Data Set

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