(Video + graphic) machine learning introduction series - Chapter 5 machine learning practice

Introduction to machine learning series , Mr. Huang haiguang . This site will be continuously updated ,ppt、 Code 、 See the end of the text for the exercises after class .

The catalogue of this series

​ ​01. introduction ​​

​ ​02. Return to ​​

​ ​03. Logical regression ​​

​ ​04. Naive Bayes ​​

05. Machine learning practice

06. Machine learning library Scikit-learn

07.KNN Algorithm

08. Decision tree

09. Integrated learning

10. Artificial neural network

11. Support vector machine

12. clustering

13. Dimension reduction

14. Association rules

15. Machine learning project process

Contents of this chapter

• 5.1 Data set partitioning
• 5.2 The evaluation index
• 5.3 Regularization 、 Deviation and variance

5.1 Data set partitioning

Video Explanation

Graphic content

5.2 The evaluation index

Video Explanation

Graphic content

5.3 Regularization 、 Deviation and variance

Video Explanation

Graphic content

Related resources

The course threshold is low , As long as you have mathematics knowledge above the third grade of undergraduate course , Know a programming language , You can master most of the content of this course .

Course link （ Chinese University MOOCS , There are exercises and certificates ）：
​​ ​https://www.icourse163.org/course/WZU-1464096179​​

Course resources （pdf Version courseware and code ） Published in Github：

​ ​https://github.com/fengdu78/WZU-machine-learning-course​​

Course videos can also be found in b Stand and watch （ Convenient viewing , But there are no after-school exercises and certificates ）：

​ ​https://www.bilibili.com/video/BV1gP4y177cf?share_source=copy_web​​

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