[{'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:data = PrepareFeatures(\'train\')<br>cat_features = [\'hasParking\', \'hasGym\', \'hasPool\', \'noFee\', \'hasElevator\',<br>                \'hasGarden\', \'isFurnished\', \'reducedFee\', \'hasAC\', \'hasRoof\',<br>                \'petFriendly\', \'shareable\', \'freeMonth\', \'utilIncluded\']<br>CreateCategFeat(data, cat_features)<br>features = ["bathrooms", "bedrooms", "latitude", "longitude", "price",<br>             "nPhotos", "hasDesc", \'nFeatures\', \'nDescWords\', "month", \'weekday\']<br>features.extend(cat_features)<br>X = data[features]<br>y = data["interest_level"]'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]