[{'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:PATH_WEEK=\'/kaggle/input/covid19-global-forecasting-week-2\'\ndf_train = pd.read_csv(f\'{PATH_WEEK}/train.csv\')\ndf_test = pd.read_csv(f\'{PATH_WEEK}/test.csv\')\n\ndf_hospital_beds = pd.read_csv(r"/kaggle/input/hospital-beds/API_SH.MED.BEDS.ZS_DS2_en_csv_v2_887506.csv", \n                               skiprows=4)\n\ndf_population2 = pd.read_csv("/kaggle/input/populationdata/population_by_country_2020.csv", \n                             na_values="N.A.")\n\ndf_environment_pm2 = pd.read_csv("/kaggle/input/environmentpm25/API_EN.ATM.PM25.MC.M3_DS2_en_csv_v2_888986.csv",\n                                 skiprows=4)\n\ndf_train.rename(columns={\'Country_Region\':\'Country\'}, inplace=True)\ndf_test.rename(columns={\'Country_Region\':\'Country\'}, inplace=True)\ndf_train.rename(columns={\'Province_State\':\'State\'}, inplace=True)\ndf_test.rename(columns={\'Province_State\':\'State\'}, inplace=True)\ndf_hospital_beds.rename(columns={\'Country Name\' : \'Country\'}, inplace=True)\ndf_environment_pm2.rename(columns={\'Country Name\' : \'Country\'}, inplace=True)\n\ndf_population2.set_axis(["Country", "Population", "YearlyChange", \n                      "NetChange", "Density", "LandArea", \n                      "Migrants", "FertilityRate", "MedAge",\n                      "UrbanPop", "WorldShare"],\n                      axis=1, \n                      inplace=True)\n\ndf_train[\'Date\'] = pd.to_datetime(df_train[\'Date\'], infer_datetime_format=True)\ndf_test[\'Date\'] = pd.to_datetime(df_test[\'Date\'], infer_datetime_format=True)\n\ndf_train.info()\''}, {'role': 'assistant', 'content': "['load_data']"}]