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References

Bundled resources for ml-model-trainer skill

  • model_selection_guide.md: Provides guidance on selecting the appropriate model type for a given dataset and task.
  • training_parameters.md: Explains the various training parameters and how to configure them for optimal performance.
  • performance_metrics.md: Describes the different performance metrics used to evaluate the trained model.
  • data_preprocessing.md: Best practices for data preprocessing.
  • cross_validation.md: Explains cross-validation techniques.