名古屋のPython skope-rulesトレーニング

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.         
 

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.

Note

• To request a customized training for this course, please contact us to arrange.
• To learn more about skope-rules, please visit: https://github.com/scikit-learn-contrib/skope-rules