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.
NobleProg -- Your Local Training Provider
I like to combine the actual ML application scenarios.
Course: Machine Learning with Rules using Python skope-rules
Magdalena Orzędowska-Kubeczak - EduBroker Sp. z o.o.
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.
In this instructor-led, live training in the UK (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.