Online Course
More Data Mining with Weka
University of Waikato via Independent
Overview
This course follows on from Data Mining with Weka and provides a deeper account of data mining tools and techniques. Again the emphasis is on principles and practical data mining using Weka, rather than mathematical theory or advanced details of particular algorithms. Students will work with multimillion-instance datasets, classify text, experiment with clustering, association rules, neural networks, and much more.
Taught by
Ian H. Witten
Charts
- #1 in Subjects / Data Science / Data Mining
Reviews
4.9 rating, based on 9 reviews
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Prose completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
Another well thought-out Weka course from Waikato covering further areas of data mining (association rules, clustering, text classification, cost-sensitive techniques), of Weka (experimenter & knowledge flow interfaces) and of the data mining evaluation process (ROC, learning curves).
Assessments are fiddly, with a strong applied emphasis, but not too hard.
Current session closes 15/4/16, with an 'Advanced' follow-up course scheduled for late April (per Dr Witten's forum comments) -
Anonymous
Anonymous completed this course.
Excellent course for learning Weka. I have used it before, but was not familiar with the many meta-methods and how to use them with filters. I hope there is a folllow on to this course. -
Dmitry is taking this course right now.
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Mark completed this course.
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Rafael P.
Rafael completed this course.
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Sašo K.
Sašo completed this course, spending 3 hours a week on it and found the course difficulty to be easy.
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Meftaul completed this course.
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Colin completed this course.
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Juan C.
Juan completed this course.
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