课程大纲
介绍
安装和配置 RapidMiner
RapidMiner Studio 界面和机制概述
分析周期回顾
存储库概述
导入数据
准备数据
建 模
验证
使用宏
使用全局 Search
构建更复杂的预测模型
评估模型质量
故障排除和优化
总结和结论
要求
- 对数据科学概念的理解
客户评论 (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
课程 - Big Data Business Intelligence for Telecom and Communication Service Providers
内容,因为我觉得它非常有趣,并认为它会对我在大学的最后一年有所帮助。
Krishan - NBrown Group
课程 - From Data to Decision with Big Data and Predictive Analytics
机器翻译
The exercises.
Elena Velkova - CEED Bulgaria
课程 - 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
课程 - Introduction to R with Time Series Analysis
示例和练习
Kamil
课程 - Introduction to Data Science and AI using Python
机器翻译
提供的所有信息
Jose Victor - si
课程 - Artificial Intelligence (AI) for Managers
机器翻译