[{'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:# Strip unwanted features\ndf_train = df.drop(remove_columns, axis=1)\n\ndf_targets = df_train[target_labels]\ndf_train = df_train.drop(target_labels, axis=1)\n\ndf_submit = df_test.drop(remove_columns, axis=1)\nprint(df_train.columns)\nprint(df_submit.columns)\n\ndf_train = pd.get_dummies(df_train)\ndf_submit = pd.get_dummies(df_submit)\nprint(df_train.shape[1] == df_submit.shape[1])\n\nfrom sklearn.preprocessing import StandardScaler\nscaler = StandardScaler()\n\ndf_train = scaler.fit_transform(df_train)\ndf_submit = scaler.transform(df_submit)\n\nnp_train = np.array(df_train)\nnp_targets = np.array(df_targets)\nnp_submit = np.array(df_submit)\n\nfrom sklearn.model_selection import train_test_split\n\nX_train, X_test, y_train, y_test = train_test_split(np_train, np_targets, test_size=0.15)'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]