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. Onsite live Python skope-rules trainings in Bács-Kiskun can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Kecskemét
The Four Points Conference Center, Izsáki út 6, Kecskemét, hungary, 6000
In the Middle of It All. The Four Points by Sheraton Kecskemet Hotel and Conference Center is near the center of this major i...
In the Middle of It All. The Four Points by Sheraton Kecskemet Hotel and Conference Center is near the center of this major industrial city between Budapest and Szeged. Budapest Ferenc Liszt International Airport (BUD) is approximately 35 minutes away via Highway M5. The Place to Meet. The modern conference venues span 1,400 square meters, including a 380-square meter ballroom.
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 Bács-Kiskun (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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