课程大纲
介绍
Knime 入门
- 什么是KNIME?
- KNIME 分析
- KNIME 服务器
Machine Learning
- 计算学习理论
- Computer 计算体验算法
准备开发环境
- 安装和配置 KNIME
KNIME 节点
- 添加节点
- Access读取数据
- 合并、拆分和筛选数据
- 对数据进行分组和透视
- 清理数据
建 模
- 创建工作流
- 导入数据
- 准备数据
- 可视化数据
- 创建决策树模型
- 使用回归模型
- 预测数据
- 比较和匹配数据
学习技巧
- 使用随机森林技术
- 使用多项式回归
- 分配类
- 评估模型
总结和结论
要求
- 经验 Python
- R 体验
观众
- 数据科学家
客户评论 (4)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
课程 - Introduction to Data Visualization with Tidyverse and R
培训师非常乐意回答我所做的所有问题
Caterina - Stamtech
课程 - Developing APIs with Python and FastAPI
机器翻译
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
课程 - Build REST APIs with Python and Flask
传授培训师的实践知识和经验。
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
课程 - GUI Programming with Python and PyQt
机器翻译