Python skope-rules Training Courses

Python skope-rules Training Courses

지역 강사가 진행하는 라이브 Python Skope-Rules 교육 과정에서는 대화 형 실습을 통해 Skope 규칙을 사용하여 기존 데이터 세트를 기반으로 규칙을 자동으로 생성하는 방법을 보여줍니다. Python skope-rules 교육은 "현장 실습"또는 "원격 실습"으로 제공됩니다. 현장 실습은 고객 구내에서 현지에서 실시 할 수 있습니다. 대한민국 또는 NobleProg 기업 교육 센터에서 대한민국 . 원격 라이브 교육은 대화 형 원격 데스크톱을 통해 수행됩니다. NobleProg - 지역 교육 제공자

Python skope-rules Course Outlines

CodeNameDurationOverview
scoperulesMachine Learning with Rules using Python skope-rules14 hoursSkope-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 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.

Audience

- Developers

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
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