[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:import warnings\nwarnings.filterwarnings(\'ignore\')\nimport numpy as np\nimport pandas as pd\nfrom sklearn import *\nimport final_functions as our_funcs\ndata_df = pd.read_csv("Clothing_Shoes_Jewelry_5.csv")\ndata_df = data_df.drop(\'Unnamed: 0\', 1)\nunique_products = data_df.asin.unique()\nmetadata = pd.read_csv("clothing_shoes_jewelry_metadata.csv")\nmetadata = metadata.drop(\'Unnamed: 0\', 1)\ndata_df_slim = data_df[[\'asin\', \'overall\', \'reviewerID\']]\nuser_item_mat = data_df_slim.pivot(index=\'reviewerID\', columns = \'asin\', values=\'overall\')\ntest = np.array(user_item_mat)\nnonan_test = np.nan_to_num(test)'}, {'role': 'assistant', 'content': 'load_data'}]