[{'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:# Fix error in train data\nFirstDate = train.groupby('Country_Region').min()['Date'].unique()[0]\ntrain['Last Confirm'] = train['ConfirmedCases'].shift(1)\nwhile train[(train['Last Confirm'] > train['ConfirmedCases']) & (train['Date'] > FirstDate)].shape[0] > 0:\n    train['Last Confirm'] = train['ConfirmedCases'].shift(1)\n    train['Last Fatalities'] = train['Fatalities'].shift(1)\n    train.loc[(train['Last Confirm'] > train['ConfirmedCases']) & (train['Date'] > FirstDate),'ConfirmedCases'] = train.loc[(train['Last Confirm'] > train['ConfirmedCases']) & (train['Date'] > FirstDate),'Last Confirm']\n    train.loc[(train['Last Fatalities'] > train['Fatalities']) & (train['Date'] > FirstDate),'Fatalities'] = train.loc[(train['Last Fatalities'] > train['Fatalities']) & (train['Date'] > FirstDate),'Last Fatalities']\n    train['Last Confirm'] = train['ConfirmedCases'].shift(1)\n    train['Last Fatalities'] = train['Fatalities'].shift(1)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]