[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:labelEncoder = LabelEncoder()\ntrain_dataset[\'Date\'] = pd.to_datetime(train_dataset[\'Date\']).dt.strftime("%m%d").astype(int) \ntrain_dataset[\'Date\'] -= 122 \ntest_dataset[\'Date\'] = pd.to_datetime(test_dataset[\'Date\']).dt.strftime("%m%d").astype(int) \ntest_dataset[\'Date\'] -= 122 \n\ntrain_dataset.Province_State = labelEncoder.fit_transform(train_dataset.Province_State)\ntrain_dataset.Country_Region = labelEncoder.fit_transform(train_dataset.Country_Region)\n\ntest_dataset.Province_State = labelEncoder.fit_transform(test_dataset.Province_State)\ntest_dataset.Country_Region = labelEncoder.fit_transform(test_dataset.Country_Region)\n\n\nprint(\'\\\n\\\n\\\nTrain Dataset After Encoding\')\nprint(train_dataset.head(5))\n      \n\nprint(\'\\\n\\\n\\\nTest Dataset After Encoding\')\nprint(test_dataset.head(5))\n\n\''}, {'role': 'assistant', 'content': 'data_preprocessing'}]