10 Decision Trees are Better Than 1 | Random Forest & AdaBoost

🤝 Want your team maximizing Claude? I run 1:1 and team AI workshops for companies doing $1M+ per year: https://aibuilder.academy/yt/ZaXpMou55lw This is the 2nd video in a series on decision trees. Here, I discuss how we can combine multiple decision trees into a tree ensemble. Series playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosUZTQsnTiqn45BrQ8WaTm9M More on Decision Trees: - Blog: https://medium.com/towards-data-science/10-decision-trees-are-better-than-1-719406680564?sk=196b2f9122d90f78eda31bfb3448ef5d - Example Code: https://github.com/ShawhinT/YouTube-Blog/tree/main/decision-tree/decision_tree_ensembles Intro - 0:00 Tree Ensembles - 0:18 2 Types of Tree Ensembles - 1:12 1) Bagging (Random Forest)- 1:32 2) Boosting (AdaBoost, Gradient Boosting, XGBoost) - 3:29 3 Benefits of Tree Ensembles - 7:03 Example Code: Breast Cancer Prediction - 9:40