[{'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:b"#  \\nimport pandas as pd\\nimport numpy as np\\nimport seaborn as sns\\nfrom matplotlib import pyplot as plt\\nfrom sklearn import metrics\\nfrom sklearn.linear_model import LinearRegression\\nfrom sklearn.model_selection import train_test_split\\nfrom pathlib import Path\\nfrom IPython.display import display\\nfrom datetime import datetime\\nfrom pandas import DataFrame\\nfrom typing import List, NamedTuple, Tuple\\n\\n# allow plots to appear directly in the notebook\\n%matplotlib \\n\\n# Supress Warnings\\nimport warnings\\nwarnings.filterwarnings(\'ignore\')\\n\\npd.set_option(\'display.max_rows\', 100)\\npd.set_option(\'display.max_columns\', 50)\\npd.set_option(\'display.width\', 1000)"'}, {'role': 'assistant', 'content': "['helper_functions']"}]