Online or onsite, 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 "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Utrecht onsite live Python skope-rules trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Utrecht
The Office Operators, Stadsplateau 7, Utrecht, Netherlands, 3521 AZ
Training courses in the very heart of Utrecht city centre, with Central Station at your doorstep. NobleProg has the use of 16...
Training courses in the very heart of Utrecht city centre, with Central Station at your doorstep. NobleProg has the use of 16 professional and modern training rooms in the Utrecht WTC Meeting & Conference center.
All rooms are equipped with LCD screens and every room offers natural day light.
The WTC Utrecht is located directly adjacent to Utrecht Central Station, within walking distance from the historical centre and has ample parking opportunities for cars as well as bicycles. This makes WTC Utrecht a dream location for organisations that are looking for the ideal place to hold their meetings.
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 Utrecht (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.
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