[{'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:import time\nfrom dateutil.parser import parse\ndef convert_to_epoch(df, column):\n'''function that reads in a dataframe with a column containing values in timestamp format and converts those values to epoch forma\nrequires module time and parse function from dateutil.parser\nparamaters\n----------\ndf is a dataframe\ncolumn is a string that denotes the name of the column containing value in timestamp format\n'''\nfor i in range(df.shape[0]):\nx = df[column][i]\ny = parse(x)\nepoch = int(time.mktime(y.timetuple()))\ndf.set_value(i, column, epoch)\nreturn df"}, {'role': 'assistant', 'content': "['helper_functions', 'data_preprocessing']"}]