More Data Mining with R
More Data Mining with R

More Data Mining with R

50,00 

More Data Mining with R. How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.

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Product Description

More Data Mining with R. How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.

Description of this course: More Data Mining with R

Course Description 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 More 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 More 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.

Requirements of this course: More Data Mining with R

What are the requirements? Students will need to install the no-cost R console software and the no-cost RStudio IDE suite (instructions are provided).

What will you learn in this course: More Data Mining with R?

What am I going to get from this course? Understand the conceptual foundations of association analysis and perform market basket analyses. Be able to create visualizations of social (and other) networks using the iGraph package. Understand how to examine and mine social network data to understand all of the implicit relationships. Mine text data to create word association visualizations, term documents with word frequency counts and associations, and create word clouds. Learn how to process text and string data, including the use of ‘regular expressions’. Extract prototypical information about cycles from time series data.

Target audience of this course: More Data Mining with R

Additional Information

Instructor

Geoffrey Hubona, Ph.D.

Lectures

67

Length

10.5

Skill Level

All Levels

Languages

English

Includes

Lifetime access
30 day money back guarantee!
Available on iOS and Android
Certificate of Completion

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