Python skope-rules培训课程

Python skope-rules培训课程

本地,讲师指导的实时Python skope-rules培训课程通过交互式实践练习演示如何使用skope-rules自动生成基于现有数据集的规则。 Python skope-rules培训可用作“现场实时培训”或“远程实时培训”。现场培训可以在当地的客户场所进行中国或者在NobleProg的企业培训中心中国 。远程实时培训通过交互式远程桌面进行。 NobleProg - 您当地的培训机构



Python skope-rules课程大纲

14 hours
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.

After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.
14 hours
Skope-rules is a Python machine learning module built on top of scikit-learn.

In this instructor-led, live training (onsite or remote), participants will learn how to use Python skope-rules to automatically generate rules based on existing data sets.

By the end of this training, participants will be able to:

- Use skope-rules to extract rules from available data.
- Apply skope-rules to carry out classification, particularly useful in supervised anomaly detection, or imbalanced classification.
- Generate rules for classifying new incoming data.
- Fit rules to address real-world problems in fraud detection, predictive maintenance, intrusion detection, insurance application approvals, etc.

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.


- To request a customized training for this course, please contact us to arrange.
- To learn more about skope-rules, please visit:

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