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This repository explores regression trees for predictive modeling. It covers theory, practical implementations, and model optimization. Using Python and scikit-learn, it demonstrates tree-based regression on real-world datasets, focusing on model accuracy and interpretability.

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Regression Trees

This repository aims to disseminate and deepen knowledge about the regression tree method.

Initial configuration

After cloning the repository, please configure the permissions in the installation script:

chmod +x script/install_project.sh
./script/install_project.sh

In the versioning folder, you can find the requirements for the functioning of this repository.

Extensions used in VS Code:

  • Excel Viewer
  • LaTeX Workshop
  • Markdown All in One
  • Python
  • VSCodeFileHeader

Developed by:

  • Jean Marcelo Mira Junior
  • Ramiro Luiz Nunes

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This repository explores regression trees for predictive modeling. It covers theory, practical implementations, and model optimization. Using Python and scikit-learn, it demonstrates tree-based regression on real-world datasets, focusing on model accuracy and interpretability.

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