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