new_contents: import itertools
  import numpy as np
  import matplotlib.pyplot as plt
  
  def plot_confusion_matrix(cm, classes,
                            normalize=False,
                            title='Confusion matrix',
                            cmap=plt.cm.Blues):
      """
      This function prints and plots the confusion matrix.
      Normalization can be applied by setting `normalize=True`.
      """
      plt.imshow(cm, interpolation='nearest', cmap=cmap)
      plt.title(title)
      plt.colorbar()
      tick_marks = np.arange(len(classes))
      plt.xticks(tick_marks, classes, rotation=45)
      plt.yticks(tick_marks, classes)
  
      if normalize:
          cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]
  
      thresh = cm.max() / 2.
      for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):
          plt.text(j, i, cm[i, j],
                   horizontalalignment="center",
                   color="white" if cm[i, j] > thresh else "black")
  
      plt.tight_layout()
      plt.ylabel('True label')
      plt.xlabel('Predicted label')
      plt.show()
  
subject: add helpers.py file to notebooks folder for common helper functions for notebooks to use