Python skope-rules kurser och utbildning

Denna kurs introducerar eleven Python språket. Efter avslutad kurs kommer studenten att kunna skriva icke triviala Python program som behandlar en mängd olika ämnesområden. Ämnen inkluderar språkkomponenter, arbeta med en professionell IDE, kontrollflödeskonstruktioner, strängar, I / O, samlingar, klasser, moduler och regelbundna uttryck. Kursen kompletteras med många praktiska laboratorier, lösningar och kodexempel.

Efter avslutad kurs kommer studenterna att kunna visa kunskap och förståelse för Python Security Principles.

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