[{'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:from sklearn.datasets import make_moons\nfrom matplotlib import pyplot as plt\n%matplotlib inline\ndata, labels_true = make_moons(n_samples=750, noise=0.1)\nplt.figure(figsize=(15, 5))\nplt.subplot(1,2,1)\nplt.scatter(data[:, 0], data[:, 1], s=20)\nplt.grid()\nplt.subplot(1,2,2)\nplt.scatter(data[:, 0], data[:, 1], c=labels_true,\ncmap=plt.cm.rainbow, s=20, linewidths=0)\nplt.grid()\nplt.show()'}, {'role': 'assistant', 'content': "['helper_functions', 'load_data', 'data_exploration']"}]