Dive deeper into data mining techniques using the Weka software in this 5-week course from the University of Waikato. Expand your knowledge of machine learning algorithms, explore advanced data preprocessing methods, and gain hands-on experience with practical applications. Learn to tackle complex data analysis tasks, interpret results effectively, and apply advanced Weka features to real-world datasets. Enhance your data mining skills and become proficient in extracting valuable insights from large and diverse datasets using this powerful open-source tool.
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Taught by
Ian H. Witten
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4.9 rating, based on 9 Class Central reviews
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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) -
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.
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