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 trainings in 台灣 can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
課程: Machine Learning with Rules using Python skope-rules
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.
After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.
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.
- 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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