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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

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Reviews

4.9 rating, based on 9 reviews

Start your review of More Data Mining with Weka

  • Prose Simian 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 Kamyshenkov is taking this course right now.

  • Sašo Karakatič

    Sašo Karakatič completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

  • Rafael Prados

    Rafael Prados completed this course.

  • Mark Henry Butler completed this course.

  • Colin Khein completed this course.

  • Juan Caballero

    Juan Caballero completed this course.

  • Meftaul Haque completed this course.

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