课程大纲
介绍
Data Mining 概念概述
Data Mining 技术
寻找关联规则
匹配实体
分析网络
分析文本情感
识别命名实体
实现文本摘要
生成主题模型
检测数据异常
最佳实践
总结与结论
要求
- 对Python程式设计的理解。
- 对Python函式库的整体理解。
目标受众
- 数据分析师
- 数据科学家
客户评论 (5)
使用与我们在项目中使用的数据(光栅格式的卫星图像)更相似的数据进行更多实践练习的事实
Matthieu - CS Group
课程 - Scaling Data Analysis with Python and Dask
机器翻译
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
课程 - Developing APIs with Python and FastAPI
Trainer develops training based on participant's pace
Farris Chua
课程 - Data Analysis in Python using Pandas and Numpy
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
Jamie Martin-Royle - NBrown Group
课程 - From Data to Decision with Big Data and Predictive Analytics
The example and training material were sufficient and made it easy to understand what you are doing.