Dive into the world of decision trees with this beginner-friendly introductory video. Explore the fundamentals of decision tree algorithms, including their graphical representation and the process of growing trees from data. Learn about the crucial concept of Gini Impurity and its role in decision-making. Work through a practical toy example to solidify your understanding. Discover the importance of hyperparameter tuning in optimizing decision tree performance. Apply your newfound knowledge to a real-world scenario with a Python code example for sepsis survival prediction. Access additional resources, including a series playlist, blog post, and GitHub repository, to further enhance your decision tree expertise.
Overview
Syllabus
Intro -
What are Decision Trees? -
Graphical View of a Decision Tree -
Growing a Decision Tree From Data-
Gini Impurity -
Toy Example -
Hyperparameter Tuning -
Example Code: Sepsis Survival Prediction -
Taught by
Shaw Talebi
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