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課程簡介
介紹
安裝與設定RapidMiner
RapidMiner Studio 介面和機制概述
分析週期回顧
存儲庫概述
匯入數據
準備數據
建 模
驗證
使用宏
使用全域 Search
構建更複雜的預測模型
評估模型品質
故障排除和優化
總結和結論
最低要求
- 對數據科學概念的理解
14 時間:
客戶評論 (6)
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
內容,因為我覺得它非常有趣,並認為它會對我在大學的最後一年有所説明。
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
機器翻譯
The exercises.
Elena Velkova - CEED Bulgaria
Course - Predictive Modelling with R
Good detail on what R is used for and how to start using it right away
Hoss Shenassa - Trimac Management Services LP
Course - Introduction to R with Time Series Analysis
示例和練習
Kamil
Course - Introduction to Data Science and AI using Python
機器翻譯
提供的所有資訊
Jose Victor - si
Course - Artificial Intelligence (AI) for Managers
機器翻譯