[{'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:dummies_month = pd.get_dummies(train['month'], prefix= 'month')\ndummies_season = pd.get_dummies(train['season'], prefix= 'season')\ndummies_weather = pd.get_dummies(train['weather'], prefix= 'weather')\ndummies_year = pd.get_dummies(train['year'], prefix= 'year')\n\ndata=pd.concat([train,dummies_month,dummies_season,dummies_weather,dummies_year],axis=1)\n\nyLabels=data['count']\ndropFeatures = ['casual' , 'count' , 'datetime' , \n                'registered' , 'date' ,'season',\n                'weather','month','year']\n\ndataTrain = data.drop(dropFeatures,axis=1)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]