[{'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:df_train["count_Log"] = df_train["count"].map(lambda i:np.log(i) if i>0 else 0)\n\nf, ax = plt.subplots(1, 1, figsize = (10,6))\ng = sns.distplot(df_train["count_Log"], color = "b", label="Skewness: {:2f}".format(df_train["count_Log"].skew()), ax=ax)\ng = g.legend(loc = "best")\n\nprint("Skewness: %f" % df_train[\'count_Log\'].skew())\nprint("Kurtosis: %f" % df_train[\'count_Log\'].kurt())\n\ndf_train.drop(\'count\', axis= 1, inplace=True)\n\n#    .'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]