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. Leipzig 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
Leipzig
NobleProg Leipzig, Arthur Hoffmann Str., Leipzig, germany, 04107
Overview
Our training facilities are located at Arthur Hoffmann Str. in Leipzig. Our spacious c...
Overview
Our training facilities are located at Arthur Hoffmann Str. in Leipzig. Our spacious classrooms are centrally located near the university and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Bayerischer Bahnhof S-Bahn station. In the north you reach the motorway A41, in the south the motorway A38.
Parking
You will find numerous parking spaces around our training rooms.
Local Services
You will find numerous parking spaces around our training rooms.
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 Leipzig (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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