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- AI
Tree-Based Machine Learning
4 Courses
4 Labs
4 Hours
Skill IQ
This path delves into tree-based machine learning models, which are widely used for classification, regression, and decision-making tasks. Learners will explore key algorithms, including Decision Trees, Random Forests, Gradient Boosting Machines (GBMs), and XGBoost.
Content in this path
Watch the following courses to learn about Tree-Based Machine Learning!
The courses in this section of the path will teach you the core concepts of tree-based ML.
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What You'll Learn
- How to Get Started with Decision Trees
- How to build and evaluate Advanced Decision Trees
- How to use Random Forests
- How to apply Boosting Techniques
Prerequisites
- It may be helpful, but not required to have some prior experience with Python.
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