[{'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:transformer_list = [        \n            #binary\n            ('binary_variables_processing', preprocessing.FunctionTransformer(lambda data: data[:, binary_data_indices])), \n                    \n            #numeric\n            ('numeric_variables_processing', pipeline.Pipeline(steps = [\n                ('selecting', preprocessing.FunctionTransformer(lambda data: data[:, numeric_data_indices])),\n                ('scaling', preprocessing.StandardScaler(with_mean = 0))            \n                        ])),\n        \n            #categorical\n            ('categorical_variables_processing', pipeline.Pipeline(steps = [\n                ('selecting', preprocessing.FunctionTransformer(lambda data: data[:, categorical_data_indices])),\n                ('hot_encoding', preprocessing.OneHotEncoder(handle_unknown = 'ignore'))            \n                        ])),\n        ]"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]