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Bunch of helper functions to do small tasks required for notebooks for ml and deep learning task

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Subu - Personal Programming Buddy

Functions List:

  • setup_kaggle : This function helps you to setup kaggle and user kaggle command in colab notebook.
  • unzip : This function unzip a zip file.
  • walk_through_dir : Walks through dir_path returning its contents.
  • create_tensorboard_callback : Creates a TensorBoard callback instand to store log files.
  • plot_loss_curves : Returns separate loss curves for training and validation metrics.
  • compare_historys : Compares two TensorFlow model History objects.
  • classification_eval_metrices : Calculates model accuracy, precision, recall and f1 score of a classification model.
  • regression_eval_metrices : Calculates model mae, mse, rmse, mape and mase of a regression model.

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Bunch of helper functions to do small tasks required for notebooks for ml and deep learning task

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