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machinelearnando

There are two main processes:

Training

  • preprocess_samples_supervised.py + utils.py : raw data input treatment and vectors creation.
  • train.py: train a model with a linear kernel and export it.

Use the trained model

  • predict.py: With new data test it and compare.

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