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This notebook can be downloaded, tested and modified with Google Colab and aims at explainable how a Decision Tree is built. It is also coupled with a Medium article.

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understanding-decision-trees 🌳

This notebook aims at understanding how a Decision Tree is built using the iris dataset. This notebook focuses on Decision Trees with a categorical target and continuous features.

If you want to test the code, you just need to click on the badge 'Google Colab' at the top of the notebook. It then opens the notebook in Google Colab. If you want to run the code and modify it, save the notebook to your drive.

Here the Medium article : https://medium.com/@valentin.jean.richer/understanding-decision-trees-once-and-for-all-2d891b1be579?source=friends_link&sk=451fa478c53f2b288aec0d46eb83d90d

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This notebook can be downloaded, tested and modified with Google Colab and aims at explainable how a Decision Tree is built. It is also coupled with a Medium article.

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