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 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.
Audience
Developers
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: