[{'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:train["SalePrice"] = np.log1p(train["SalePrice"])\nnumeric_feats = all_data.dtypes[all_data.dtypes != "object"].index\nskewed_feats = train[numeric_feats].apply(lambda x: skew(x.dropna())) #compute skewness\nskewed_feats = skewed_feats[skewed_feats > 0.75]\nskewed_feats = skewed_feats.index\nall_data[skewed_feats] = np.log1p(all_data[skewed_feats])\nall_data = all_data.fillna(all_data.mean())\nall_data = pd.get_dummies(all_data)'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]