Helper functions for some common tasks which includes the following:

1. Return the train data from csv and a shuffled of that trained data (preprocess_data(filename, fraction, rand_state))
2. Load and prepare image data (load_and_prep_image(filename, img_shape=224, scale=True))
3. Plot confusion matrix (make_confusion_matrix(y_true, y_pred, classes=None, figsize=(10, 10), text_size=15, norm=False, savefig=False))
4. Make predictions on image and plot them (pred_and_plot(model, filename, class_names))
5. Creates a tensorboad callback (create_tensorboard_callback(dir_name, experiment_name))
6. Plot loss curves (plot_loss_curves(history))
7. Compare histories (compare_historys(original_history, new_history, initial_epochs=5))
8. Unzip data (unzip_data(filename))
9. Walthrough directory retruning the content (walk_through_dir(dir_path))
10. Calculates accuracy, precision, recall and f1 score for a model (calculate_results(y_true, y_pred))