Machine Learning with Rules using Python skope-rulesのトレーニングコース

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