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Train a car condition classifier from scratch

This is a step by step tutorial of training a neural network classifier. The dataset I'm using is from UCI. I've also wrote a detailed tutorial in Chinese in 莫烦Python.

Data description

4 Classes about car's condition:

  • unacc: unaccepted condition
  • acc: accepted condition
  • good: good condition
  • vgood: very good condition

Features:

  • buying: vhigh, high, med, low.
  • maint: vhigh, high, med, low.
  • doors: 2, 3, 4, 5more.
  • persons: 2, 4, more.
  • lug_boot: small, med, big.
  • safety: low, med, high.

Training

Files:

Training result

Dependencies

  • Python
  • tensorflow
  • pandas
  • numpy
  • matplotlib

You can view more tutorials on this page or know more about me on here.

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  • Python 100.0%