Machine Learning with Rules using Python skope-rules Training Course

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 the Python skope-rules library to automatically generate rules based on existing data sets for government applications.

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

• Utilize skope-rules to extract rules from available data for government use.
• Apply skope-rules to perform classification tasks, particularly useful in supervised anomaly detection or imbalanced classification for government.
• Generate rules for classifying new incoming data in a governmental context.
• Tailor rules to address real-world problems in fraud detection, predictive maintenance, intrusion detection, insurance application approvals, and other public sector scenarios.

Format of the Course

• A combination of lecture, discussion, exercises, and extensive hands-on practice in a live-lab environment for government professionals.

Note

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