More Data Mining with R
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.
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Length | 10.5 total hours |
Starts | On Demand (Start anytime) |
Cost | $12 |
From | Udemy |
Instructor | Geoffrey Hubona, Ph.D. |
Download Videos | Only via the Udemy mobile app |
Language | English |
Subjects | Data Science |
Tags | Data Science Development |
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Rating | Not enough ratings |
---|---|
Length | 10.5 total hours |
Starts | On Demand (Start anytime) |
Cost | $12 |
From | Udemy |
Instructor | Geoffrey Hubona, Ph.D. |
Download Videos | Only via the Udemy mobile app |
Language | English |
Subjects | Data Science |
Tags | Data Science Development |
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