Tree-Based Machine Learning Models, Part 1

Published: 03 June 2021
on channel: Data Analysis Lab

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In this class I explain how the machine learning models decision and regression trees work. I explain the math behind how the models are built. I use Scikit-Learn models as examples. Finally I start to discuss hyperparameter tuning for decision trees.

I will continue with discussion of decision tree hyperparameter tuning as well as Random Forest and Gradient Boosted Trees in the Tree-Based Machine Learning Models, Part 2 class.

To gain access to code, data, and course materials visit https://kelseyemnett.com/2021/06/04/t....

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