[{'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:from sklearn.preprocessing import LabelEncoder\n# Processing the categorical columns to provide vector form of feature\nclass DataFrameProcess:\n    def __init__(self,df,col):\n        self.df =df\n        self.col=col\n    def dataEncoding(self):\n        if self.df[self.col].dtype.name == 'object' or self.df[self.col].dtype.name == 'category':\n            le = LabelEncoder()\n            self.df[self.col] = le.fit_transform(self.df[self.col])    \n\n\ndef data_transform(df):  \n    for col in df.columns:\n        data_prcs = DataFrameProcess(df,col)\n        data_prcs.dataEncoding()  \ndata_transform(x_train) \ndata_transform(x_test)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]