Exploring 11 1 Decision Tree Regularization
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- MachineLearning #Deeplearning #DataScience
- The is the third part of the classical techniques in machine learning:
- Récapitulation de l'overfitting et de la régularisation dans les arbres de décision.
- Our examples were on discrete attributes attributes that took a bunch of possible values categorical you can also do
- Because they have but we're teaching you about decision stumps which are the building blocks for
In-Depth Information on 11 1 Decision Tree Regularization
... so those are the hyper parameters you can control to enforce some Let me bring you back to the lecture eight so on lecture eight we visualized a Now this is just Decision trees
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