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所在平台: Udemy |
课程主页: https://www.udemy.com/course/more-data-mining-with-r/
课程评论：没有评论
《R语言数据挖掘进阶》是《R语言数据挖掘：从入门到精通》课程的后续课程，但可以独立学习。本课程提供对多种现代数据挖掘技术的全面概述。 课程内容包括： * **关联分析（市场篮子分析）**：重点讲解如何创建、挖掘和解释关联规则，并通过多个案例进行说明。 * **网络分析**：介绍iGraph可视化工具，并提供社交网络数据挖掘案例分析（如婚姻与权力、友谊链接）。 * **文本挖掘**：利用Twitter数据和词云进行文本挖掘。 * **文本和字符串处理**：包括使用正则表达式进行高效的文本和字符串操作。 * **时间序列数据挖掘和分析**：通过一个详细案例，展示如何预测澳大利亚堪培拉的房价指数。 本课程通过具体的建模示例、扩展案例研究和真实数据集，为学习者提供详实的教学和丰富的实践操作机会。
More Data Mining with R presents a comprehensive overview of a myriad of contemporary data mining techniques. More Data Mining with R is the logical follow-on course to the preceding Udemy course Data Mining with R: Go from Beginner to Advanced although it is not necessary to take these courses in sequential order. Both courses examine and explain a number of data mining methods and techniques, using concrete data mining modeling examples, extended case studies, and real data sets. Whereas the preceding Data Mining with R: Go from Beginner to Advanced course focuses on: (1) linear, logistic and local polynomial regression; (2) decision, classification and regression trees (CART); (3) random forests; and (4) cluster analysis techniques, this course, More Data Mining with R presents detailed instruction and plentiful "hands-on" examples about: (1) association analysis (or market basket analysis) and creating, mining and interpreting association rules using several case examples; (2) network analysis, including the versatile iGraph visualization capabilities, as well as social network data mining analysis cases (marriage and power; friendship links); (3) text mining using Twitter data and word clouds; (4) text and string manipulation, including the use of 'regular expressions'; (5) time series data mining and analysis, including an extended case study forecasting house price indices in Canberra, Australia.
