[{'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:import pandas as pd\nfrom pandas import DataFrame as df\nimport numpy as np\n\nstore_data=pd.read_csv(path+"store.csv",parse_dates=[3])\ntrain_data=pd.read_csv(path+"train.csv",parse_dates=[2])\ntest_data=pd.read_csv(path+"test.csv",parse_dates=[3])\nprint(store_data.keys(),"\\\n",train_data.keys())\n\ntrain = pd.merge(train_data, store_data, on=\'Store\')\ntest = pd.merge(test_data, store_data, on=\'Store\')\nprint(train.keys(),"\\\n",test.keys())\n\npreprocessed_dataset=[]\npreprocessed_train_labels=[]\n\n\n\''}, {'role': 'assistant', 'content': "['load_data']"}]