[{'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:skew_norm_dist = np.random.gamma(4, 2, size=200)\nf, axes = plt.subplots(2, 2, figsize=(10,10))\naxes[0,0].set_title("Lambda = 0.01")\naxes[0,1].set_title("Lambda = 0.1")\naxes[1,0].set_title("Lambda = 1")\naxes[1,1].set_title("Lambda = 10")\naxes[0,0].hist(box_cox_transform(skew_norm_dist, 0.01))\naxes[0,1].hist(box_cox_transform(skew_norm_dist, 0.1))\naxes[1,0].hist(box_cox_transform(skew_norm_dist, 1))\naxes[1,1].hist(box_cox_transform(skew_norm_dist, 10))\np = ax.hist(skew_norm_dist)'}, {'role': 'assistant', 'content': "['data_exploration']"}]