[{'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:# process seed\ndata_dict['MNCAATourneySeeds'] = data_dict['MNCAATourneySeeds'].loc[data_dict['MNCAATourneySeeds']['Season'] <= 2014]\ndata_dict['MNCAATourneySeeds']['Seed'] = data_dict['MNCAATourneySeeds']['Seed'].apply(lambda x: int(x[1:3]))\n# take only useful columns\ndata_dict['MNCAATourneySeeds'] = data_dict['MNCAATourneySeeds'][['Season', 'TeamID', 'Seed']]\ndata_dict['MNCAATourneyCompactResults'] = data_dict['MNCAATourneyCompactResults'][['Season','WTeamID', 'LTeamID']]\ndata_dict['MNCAATourneyCompactResults'] = data_dict['MNCAATourneyCompactResults'].loc[data_dict['MNCAATourneyCompactResults']['Season'] <= 2014]\n# merge the data and rename the columns\ndf = pd.merge(data_dict['MNCAATourneyCompactResults'], data_dict['MNCAATourneySeeds'],\n              how='left', left_on=['Season', 'WTeamID'], right_on=['Season', 'TeamID'])\ndf = pd.merge(df, data_dict['MNCAATourneySeeds'], how='left', left_on=['Season', 'LTeamID'], right_on=['Season', 'TeamID'])\ndf = df.drop(['TeamID_x', 'TeamID_y'], axis=1)\ndf.columns = ['Season', 'WTeamID', 'LTeamID', 'WSeed', 'LSeed']\ndf.head()"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]