[{'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:def weight_tastes(most_close_businesses_list, big_df):\npref_weighted_businesses = dict()\nfor business_item in most_close_businesses_list:\nbusiness_categories = big_df[big_df.business_id == business_item[0]].categories.values[0]\ntaste_score = 0\nfor key in user_preferences_dict.keys():\nif key in business_categories:\ntaste_score = (taste_score + user_preferences_dict[key])\nelse:\ncontinue\nif taste_score > 0:\ntaste_score = 1 + 100 * taste_score\nelif taste_score == 0:\ntaste_score = 1\npref_weighted_businesses[business_item[0]] = business_item[1] * taste_score\nreturn pref_weighted_businesses'}, {'role': 'assistant', 'content': "['modelling']"}]