Section 2
Random Forests
6. Ensemble Methods: Machine Learning and Democracy
04:57 (Preview)
7. Random Forests: Decisions Don't Fall Far from the Decision Tree 📂
15:38
8. Random Forests out in the Wild 📂
36:15
9. Interpolation Through a Random Forest 📂
08:57
Section 3
Gradient Boosting
10. Give Yourself a Gradient Boost
07:01 (Preview)
11. Auto-Correction in a Forest of Stumps 📂
22:06
12. Gradient Boosting by Hand: Code Example 📂
15:55
13. XGBoost in the Wild 📂
14:41
14. Cross validate with the XGBoost API 📂
15:30
15. Conclusion, Certificate, and What Next?
05:07
7. Random Forests: Decisions Don't Fall Far from the Decision Tree
Random Forests
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8. Random Forests out in the Wild