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- 86% More Data Mining with R

More Data Mining with R

$94.99 $12.99Track price

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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.

Specification: More Data Mining with R

Duration 10.5 hours
Year 2020
Level All
Certificate Yes
Quizzes No

10 reviews for More Data Mining with R

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  1. Avatar

    Frank Josu Castillo Isisola

    All is good but i’d like that we can see more complex models

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  2. Avatar

    Karun Kumar Jindal

    Quite boring also the instructor is not confident enough hence not able to make us understand the logic behind every code.

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    Yossi bar yossef

    the course is not understandable for hearing and the structure is not by any metodology

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  4. Avatar

    Rahul Agarwal

    There was a mistake in the association Rules formula for Support. It has to be intersection and not union. I am disappointed that despite double checking , the author is providing this key definition wrong. One has to get conceptual and Mathematical understanding right before delving into the coding. for further feedback reach me at wallmax.rahul.agarwal@gmail.com

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    Oleksii Romanko

    A lot of dummy words and a lot of questions dont answered

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  6. Avatar

    Sven Kunsing

    Seems that the lecturer could have prepared a little bit better for making the videos, not to get puzzled and lost in its own code.

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  7. Avatar

    Maria Caro

    The sound quality could be better. The lectures are a recording of an live streaming class. I wouldn’t have bought the course if I have realized it.

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    Juan Carlos Villarreal

    This course is very informative and well explained. Excellent video.

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  9. Avatar

    Sal Solaris

    Great course! I’m learning a lot in how to Data Mine with R.

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  10. Avatar

    Medwani

    Thanks.

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