[{'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:# Notice that test_df has only year=2015, and months 8 & 9\n\n# drop Year and Month\nrossmann_df.drop(["Year", "Month"], axis=1, inplace=True)\ntest_df.drop(["Year", "Month"], axis=1, inplace=True)\n\n# Create dummy varibales for DayOfWeek\nday_dummies_rossmann  = pd.get_dummies(rossmann_df[\'DayOfWeek\'], prefix=\'Day\')\nday_dummies_rossmann.drop([\'Day_7\'], axis=1, inplace=True)\n\nday_dummies_test  = pd.get_dummies(test_df[\'DayOfWeek\'],prefix=\'Day\')\nday_dummies_test.drop([\'Day_7\'], axis=1, inplace=True)\n\nrossmann_df = rossmann_df.join(day_dummies_rossmann)\ntest_df     = test_df.join(day_dummies_test)\n\nrossmann_df.drop([\'DayOfWeek\'], axis=1,inplace=True)\ntest_df.drop([\'DayOfWeek\'], axis=1,inplace=True)\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]