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 Python skope-rules to automatically generate rules based on existing datasets. By the end of this training, participants will be able to: - Use skope-rules to extract rules from available data. - Apply skope-rules for classification tasks, particularly useful in supervised anomaly detection and imbalanced classification. - Generate rules for classifying new incoming data. - Adapt rules to address real-world challenges such as fraud detection, predictive maintenance, intrusion detection, insurance application approvals, and more. **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice in a live-lab environment. **Note** - To request a customized training for government or other specific needs, please contact us to arrange. - For more information about skope-rules, please visit: https://github.com/scikit-learn-contrib/skope-rulesThis course is available as onsite live training in US Government or online live training.