[{'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:data_path = "../input/"<br>train_file = data_path + "train.json"<br>test_file = data_path + "test.json"<br>train_df = pd.read_json(train_file)<br>test_df = pd.read_json(test_file)<br><br>train_df = train_df.fillna(\'\')<br>test_df = test_df.fillna(\'\')<br><br>train_df[\'photos_num\'] = train_df.photos.apply(lambda x: len(x))<br>test_df[\'photos_num\'] = test_df.photos.apply(lambda x: len(x))<br><br>train_df[\'features_num\'] = train_df.features.apply(lambda x: len(x))<br>test_df[\'features_num\'] = test_df.features.apply(lambda x: len(x))<br><br>print(\'Shape of train dataset = \' + str(train_df.shape))<br>print(\'Shape of test dataset = \' + str(test_df.shape))'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]