Build a Decision Tree in Polars from Scratch | Towards Data Science

Decision tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification and regression tasks. Combined with boosting, decision trees are still state-of-the-art in many applications. Frameworks such as sklearn, lightgbm, xgboost and catboost have done a very good job until today. However, in the past few months, […]