Programa do Curso
Introdução
- Por que extrair regras dos dados?
Visão geral dos módulos Sklearn (árvore de decisão/Forrest aleatório)
Instalando e configurando regras de skope
Estudo de caso: Detectando taxas de inadimplência de crédito
Importando Dados
Usando SkopeRules para classificação desequilibrada
Treinando o classificador SkopeRules
Extraindo as regras
Fundindo as regras
Ajustando árvores de classificação e regressão a subamostras
Selecionando regras de maior precisão
Testando regras de maior precisão
Resumo e conclusão
Requisitos
- Python experiência de programação
- Conhecimento de algoritmos de aprendizagem automática
Público
- Desenvolvedores
Declaração de Clientes (7)
os conhecimentos práticos do formador
Waldek - Polska Spółka Gazownictwa sp. z o.o.
Curso - IBM ODM Decision Management
Machine Translated
good atmosphere
Martin Jesterschawek
Curso - Business Rule Management (BRMS) with Drools
Positive and optimistic attitude. Gives good answers to questions.
Emil Krabbe Nielsen
Curso - 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
Curso - 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.
Curso - 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.
Curso - 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.