Local, instructor-led live Python skope-rules training courses demonstrate through interactive hands-on practice how to use skope-rules to automatically generate rules based on existing data sets.
Python skope-rules training is available as "onsite live training" or "remote live training". Onsite live Python skope-rules training can be carried out locally on customer premises in the UK or in NobleProg corporate training centres in the UK. Remote live training is carried out by way of an interactive, remote desktop.
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Python skope-rules Course Outlines
|scoperules||Machine Learning with Rules using Python skope-rules||14 hours||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.
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
- 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
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