[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:import matplotlib.pyplot as plt\nfig, ax = plt.subplots(nrows=2, ncols=5, sharex=True, sharey=True,)\nax = ax.flatten()\nfor i in range(10):\nimg = X_train[y_train == i][0].reshape(28, 28) # change to image format, take first example from training set\nax[i].imshow(img, cmap='Greys', interpolation='nearest') #imshow display image on axis, interpolate to fill blanks\nax[0].set_xticks([]) # no ticks\nax[0].set_yticks([]) # no ticks\nplt.tight_layout()\nplt.show()"}, {'role': 'assistant', 'content': "['helper_functions', 'data_exploration']"}]