[{'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:titanic_test = pandas.read_csv("titanic_test.csv")\ntitanic_test["Age"] = titanic_test["Age"].fillna(titanic["Age"].median())\ntitanic_test.loc[titanic_test["Sex"] == "male", "Sex"] = 0\ntitanic_test.loc[titanic_test["Sex"] == "female", "Sex"] = 1\ntitanic_test["Embarked"] = titanic_test["Embarked"].fillna("S")\ntitanic_test.loc[titanic_test["Embarked"] == "S", "Embarked"] = 0\ntitanic_test.loc[titanic_test["Embarked"] == "C", "Embarked"] = 1\ntitanic_test.loc[titanic_test["Embarked"] == "Q", "Embarked"] = 2\ntitanic_test["Fare"] = titanic_test["Fare"].fillna(titanic_test["Fare"].median())'}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]