[{'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:# \n# for i in range(len(num_list)):\n#      # \n#     upper_lim = full_data[num_list[i]].quantile(.95)\n#     lower_lim = full_data[num_list[i]].quantile(.05)\n    \n#     # IQR\n#     Q1 = full_data[num_list[i]].quantile(.25)\n#     Q3 = full_data[num_list[i]].quantile(.75)\n#     IQR = Q3 - Q1\n#     outlier_step = 1.5 * IQR\n    \n#     # 1.5IQR95%tile5%tile\n#     full_data.loc[(full_data[num_list[i]] > (Q3 + outlier_step)), num_list[i]] =upper_lim\n#     full_data.loc[(full_data[num_list[i]] < (Q1 - outlier_step)), num_list[i]] = lower_lim'}, {'role': 'assistant', 'content': "['helper_functions']"}]