Wrocław

NobleProg , Ludwika Rydygiera 2a/22, Wroclaw, Poland, 50-249

Classroom is located in the city center (right next to HP Park Plaza), just 10 minutes walk from the market square.

The entrance to the building is located from the Śrutowa street.

Wrocław, Ludwika Rydygiera 2a

Check our offer to rent rooms and rent computer equipment!

Parking

Near the classroom, the number of free parking spaces is limited, there is no paid parking zone (along Rydygiera, Śrutowa and Henryka Brodatego, Bolesława Drobnera streets).

Public transport
The nearest tram stops: Dubois, Pomorska
The nearest bus stops: Dubois

Jelenia Góra

Pałac Wojanów, Wojanów 8, Jelenia Góra, Poland, 58-508

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Python Security

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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.         
 
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Machine Learning with Rules using Python skope-rules

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In this instructor-led, live training in dolnośląskie (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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