Discover the nuances of handling categorical variables in machine learning. While Light GBM requires manual conversion of categories to integers, CatBoost excels by automating this process. Learn about one hot encoding and the implications of the dummy variable trap as the number of categories increases, impacting the efficiency of decision trees.
