课程大纲
介绍
- 高级分析和数据挖掘概述
- CRISP-DM概述
- 了解建模器 UI
- 了解构建流的机制
了解数据
- 将数据读入 Modeler
- 测量级别和现场角色
- 使用数据审计节点
数据准备
- 选择案例
- 对分类值进行重分类
- 使用追加节点和合并节点
- 派生字段
建 模
- 建模概述
- 使用分区节点
- 构建 CHAID 模型
- 模型评估
评估和部署
- 使用分析和评估节点
- 对新数据进行评分并导出
- 使用平面文件节点
故障 排除
摘要和后续步骤
要求
- 无需数据挖掘背景
观众
- 数据分析师
- 任何想了解 SPSS Modeler 的人
客户评论 (8)
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
very tailored to needs
Yashan Wang
课程 - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in
Mohamed Salama
课程 - Data Mining & Machine Learning with R
Good real world examples, reviews of existing reports
Ronald Parrish
课程 - Data Visualization
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
课程 - Data Science for Big Data Analytics
I learned a lot - not only in theoretical knowledge but I also applied that knowledge during the training and therefore I really understood what process mining is and how it works. Thanks a lot!
Julia Dörre - Techniker Krankenkasse
课程 - Process Mining
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
课程 - Data Vault: Building a Scalable Data Warehouse
我现在对编码更有信心了。我以前从未做过,但现在我明白这不是火箭科学,我可以在必要时这样做。
Anna - Birmingham City University
课程 - Foundation R
机器翻译