[{'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:team_win_score = data_dict['MRegularSeasonCompactResults'].groupby(['Season', 'WTeamID']).agg({'WScore':['sum', 'count']}).reset_index()\nteam_win_score.columns = ['Season', 'WTeamID', 'WScore_sum', 'WScore_count']\nteam_loss_score = data_dict['MRegularSeasonCompactResults'].groupby(['Season', 'LTeamID']).agg({'LScore':['sum', 'count']}).reset_index()\nteam_loss_score.columns = ['Season', 'LTeamID', 'LScore_sum', 'LScore_count']\ndf = pd.merge(df, team_win_score, how='left', left_on=['Season', 'WTeamID'], right_on=['Season', 'WTeamID'])\ndf = pd.merge(df, team_loss_score, how='left', left_on=['Season', 'LTeamID'], right_on=['Season', 'LTeamID'])\ndf = pd.merge(df, team_loss_score, how='left', left_on=['Season', 'WTeamID'], right_on=['Season', 'LTeamID'])\ndf = pd.merge(df, team_win_score, how='left', left_on=['Season', 'LTeamID_x'], right_on=['Season', 'WTeamID'])\ndf.drop(['LTeamID_y', 'WTeamID_y'], axis=1, inplace=True)\ndf.head()"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]