This repository is dedicated to the implementation of Decision Trees using the Classification and Regression Trees (CART) algorithm. The implementations are provided in both Python and MATLAB programming languages. In addition to the code, this repository contains an essay that discusses various decision tree algorithms and ensemble techniques such as boosting and bagging.
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RichardPinter/boosting_and_bagging
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This repo is for educational purposes. The aim is to teach the mathematics behind different tree based algorithms such as AdaBoost, LightGBM and XGBoost.
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