[{'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:# date\n\n# Convert Date to Year, Month, and Week\nhomesite_df['Year']  = homesite_df['Original_Quote_Date'].apply(lambda x: int(str(x)[:4]))\nhomesite_df['Month'] = homesite_df['Original_Quote_Date'].apply(lambda x: int(str(x)[5:7]))\nhomesite_df['Week']  = homesite_df['Original_Quote_Date'].apply(lambda x: int(str(x)[8:10]))\n\ntest_df['Year']  = test_df['Original_Quote_Date'].apply(lambda x: int(str(x)[:4]))\ntest_df['Month'] = test_df['Original_Quote_Date'].apply(lambda x: int(str(x)[5:7]))\ntest_df['Week']  = test_df['Original_Quote_Date'].apply(lambda x: int(str(x)[8:10]))\n\nhomesite_df.drop(['Original_Quote_Date'], axis=1,inplace=True)\ntest_df.drop(['Original_Quote_Date'], axis=1,inplace=True)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]