Course Outline
소개
- 데이터에서 규칙을 추출하는 이유는 무엇입니까?
Sklearn 모듈 개요(의사결정 트리/Random Forrest)
범위 규칙 설치 및 구성
사례 연구: 신용 부도율 감지
데이터 가져오기
불균형 분류를 위해 SkopeRules 사용
SkopeRules 분류자 학습
규칙 추출
규칙 융합
하위 표본에 분류 및 회귀 트리 피팅
더 높은 정밀도 규칙 선택
더 높은 정밀도의 규칙 테스트
요약 및 결론
Requirements
- Python 프로그래밍 경험
- 머신러닝 알고리즘에 대한 지식
청중
- 개발자
회원 평가 (7)
트레이너의 실무 지식
Waldek - Polska Spółka Gazownictwa sp. z o.o.
Course - IBM ODM Decision Management
Machine Translated
good atmosphere
Martin Jesterschawek
Course - Business Rule Management (BRMS) with Drools
Positive and optimistic attitude. Gives good answers to questions.
Emil Krabbe Nielsen
Course - Introduction to Drools 6 for Developers
I loved that he was able to see our machines to help us when we got stuck.
Megan Burns - Sandia National Labs
Course - Drools 7 and DSL for Business Analysts
The training is very interesting and can be useful on our future projects and the trainer is always active on answering our questions and helping us when we are having issues on our end.
Charles Kevin Regaliza - Thakral One Inc.
Course - Introduction to Drools 7 for Developers
I appreciate the fact that they address my suggestion before to share the presentation with manual before the training. Very helpful on my part. Also, the individual activity, I liked it, our trainer were able to see how we interpret each case scenarios.
Kim Justine Ferriol - Thakral One, Inc.
Course - jBPM and Drools
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.