課程簡介
介紹
- 為什麼要從數據中提取規則?
Sklearn 模組概述(決策樹/隨機福雷斯特)
安裝和配置 skope-rules
案例研究:檢測信用違約率
匯入數據
使用 SkopeRules 進行不平衡分類
訓練 SkopeRules 分類器
提取規則
融合規則
將分類樹和回歸樹擬合到子樣本
選擇更高精度的規則
測試更高精度的規則
總結和結論
最低要求
- Python 程式設計經驗
- 機器學習演算法知識
觀眾
- 開發人員
客戶評論 (7)
培訓師的實踐知識
Waldek - Polska Spółka Gazownictwa sp. z o.o.
Course - IBM ODM Decision Management
機器翻譯
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.