[{'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 load_train_data(scaler_x, scaler_y):\n    \'\'\'\n    Transform train data set and separate a test dataset to validate the model in the end of training and normalize data\n    \'\'\'\n    X_train = train.drop(["Sales"], axis=1) # Features\n    y_train = np.array(train["Sales"]).reshape((len(X_train), 1)) # Targets\n    X_train = scaler_x.fit_transform(X_train)\n    y_train = scaler_y.fit_transform(y_train)\n\n    X_train, X_test, y_train, y_test = train_test_split(X_train, y_train, test_size=0.20, random_state=42)\n\n    return (X_train, y_train), (X_test, y_test)\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]