基于KNIME的机器学习和人工智能基础决策树
上次更新时间：2024-09-10
课程售价: 2.9 元
联系右侧微信客服充值或购买课程
课程内容
0 - Introduction
1 - Introducing Decision Trees
2 - Introducing the C5.0 Algorithm
- 1. Ross Quinlan, ID3, C4.5, and C5.0
- 2. Understanding the entropy calculation
- 3. How C4.5 handles missing data
- 4. The Give Me Some Credit data set
- 5. Working with the prebuilt example
- 6. KNIME settings for C4.5
- 7. How C4.5 handles nominal variables
- 8. How C4.5 handles continuous variables
- 9. Equal size sampling
- 10. A quick look at the complete C4.5 tree
- 11. Evaluating the accuracy of your C4.5 tree
- 12. When to turn off pruning
3 - Introducing Classification Trees
4 - Introducing Regression Trees
5 - Conclusion
课程内容
6个章节 , 37个讲座
0 - Introduction
1 - Introducing Decision Trees
2 - Introducing the C5.0 Algorithm
- 1. Ross Quinlan, ID3, C4.5, and C5.0
- 2. Understanding the entropy calculation
- 3. How C4.5 handles missing data
- 4. The Give Me Some Credit data set
- 5. Working with the prebuilt example
- 6. KNIME settings for C4.5
- 7. How C4.5 handles nominal variables
- 8. How C4.5 handles continuous variables
- 9. Equal size sampling
- 10. A quick look at the complete C4.5 tree
- 11. Evaluating the accuracy of your C4.5 tree
- 12. When to turn off pruning