[{'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:print("Understanding of Train Dataset:\\\n\\\n\\\n")\n\nprint(\'Train Dataset has following states:\\\n\')\nprovince_state = train_dataset[\'Province_State\'].unique()\nprint(province_state)\n\n\nprint(\'\\\n\\\n\\\nTrain Dataset has following Country Region:\\\n\')\ncountry_region = train_dataset[\'Country_Region\'].unique()\nprint(country_region)\n\n\nprint(\'\\\n\\\n\\\nTrain Dataset has records of following dates:\\\n\')\ndates = train_dataset[\'Date\'].unique()\nprint(dates)\n#convert to mm/dd/yyyy\ntrain_dataset[\'Date\'] = pd.to_datetime(train_dataset[\'Date\'])\nprint(\'\\\nTrain Dataset has following Date Range:\')\nprint(pd.date_range(start=train_dataset[\'Date\'].min(), end=train_dataset[\'Date\'].max()))\n\n\n\n\n\n\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]