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_doc/articles/2024/2024-03-01-route2024.rst

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@@ -28,7 +28,7 @@ Séance 2 (2/2)
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* arbre de régression, arbre de classification
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* random forest, boosting trees
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(:epkg:`xgboost`, :epkg:`lightgtbm`, :epkg:`catboost`),
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(:epkg:`xgboost`, :epkg:`lightgbm`, :epkg:`catboost`),
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:ref:`RandomForest, Overfitting <nbl-practice-ml-ml_a_tree_overfitting>`
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* Gradient Boosting, :ref:`Gradient Boosting et Learning Rate avec les Random Forest <nbl-practice-ml-gradient_boosting>`
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* Régression Linéaire et contraintes sur les coefficients,

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