Python skope-rules Schulungen

Python skope-rules Schulungen

Lokale, von Ausbildern geführte Live-Python-Skope-Rules-Trainingskurse zeigen anhand praktischer Übungen, wie Skope-Regeln verwendet werden können, um Regeln basierend auf vorhandenen Datensätzen automatisch zu generieren. Das Python-Skope-Rules-Training ist als "Live-Training vor Ort" oder "Remote-Live-Training" verfügbar. Onsite Live Training kann vor Ort bei Kunden durchgeführt werden Österreich oder in NobleProg Corporate Trainingszentren in Österreich . Remote-Live-Training wird über einen interaktiven Remote-Desktop durchgeführt. NobleProg - Ihr lokaler Trainingsanbieter

Erfahrungsberichte

Python skope-rules Kurspläne

Title
Duration
Overview
Title
Duration
Overview
14 hours
Overview
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.
14 hours
Overview
Skope-rules is a Python machine learning module built on top of scikit-learn.

In this instructor-led, live training (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.

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

- To request a customized training for this course, please contact us to arrange.
- To learn more about skope-rules, please visit: https://github.com/scikit-learn-contrib/skope-rules

Zukünftige Python skope-rules Kurse

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