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Introduction to Tree Models in Python
Introduction to Tree Models in Python
Key Points
Instructor Notes
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Discussion
Glossary
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Introduction to Tree Models in Python
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EPISODES
Summary and Schedule
1. Introduction
2. Decision trees
3. Variance
4. Boosting
5. Bagging
6. Random forest
7. Gradient boosting
8. Performance
RESOURCES
Key Points
Instructor Notes
Extract All Images
Discussion
Glossary
See all in one page
Introduction
Decision trees
Figure 1
Image 1 of 1: ‘Simple tree’
Figure 2
Image 1 of 1: ‘Simple tree’
Variance
Figure 1
Image 1 of 1: ‘Simple tree (depth 5)’
Figure 2
Image 1 of 1: ‘Simple tree (depth 5)’
Figure 3
Image 1 of 1: ‘Simple tree (depth 5)’
Figure 4
Image 1 of 1: ‘Simple tree (depth 5)’
Figure 5
Image 1 of 1: ‘Simple tree (depth 5)’
Boosting
Figure 1
Figure 2
Image 1 of 1: ‘Boosted tree’
Bagging
Figure 1
Figure 2
Random forest
Figure 1
Figure 2
Gradient boosting
Figure 1
Performance
Figure 1
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