In this video, I cover the basics of Random Forest and Gradient Boosted Trees. First, I review hyperparameters of tree-based models used to tune these models. Then I cover the details of how Random Forest and Gradient Boosted Trees make accurate predictions. I then demo the models coded in Python scikit-learn.
To gain access to code, data, and course materials visit https://kelseyemnett.com/2021/09/04/f....
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