From the course: Machine Learning with Python: Decision Trees
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Next steps with decision trees - Python Tutorial
From the course: Machine Learning with Python: Decision Trees
Next steps with decision trees
- [Frederick] Congratulations. You now know what a decision tree is, how it's built, and when to use one. You've learned how to build, visualize, and prune a classification tree, as well as a regression tree in Python. The foundational knowledge and skills you've acquired in this course should serve as a stepping stone to continue learning about machine learning. Specifically, it should serve as a launchpad for solving more complex, supervised machine learning problems using decision trees. Here are a few recommended next steps. Decision trees are one of many supervised machine learning models we can build in Python. I encourage you to continue to explore other LinkedIn Learning courses that illustrate the use of different types of machine learning models. One such course is Machine Learning with Python, k-Means Clustering. Besides courses that explore other models, I also encourage you to explore courses that…
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