Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Introduction to Decision Trees - Gini Impurity and Python Code

Shaw Talebi via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

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

Reviews

Start your review of Introduction to Decision Trees - Gini Impurity and Python Code

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.