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Preprocessing normalization using Weka
WEKA API 6/19: Discretizing Attributes
Data Mining with Weka (2.3: Repeated training and testing)
Tunning hyper parameters of ML algorithm in Weka (Case study on KNN)
WEKA HowTo: Attribute Selection
How to use InfoGainAttributeEval for Attribute Ranker in Weka 3.8
19. DW & DM - Hyper parameter tuning for Data mining and machine learning models
How to add and remove packages to Weka Workbench for machine learning and Data Mining
More Data Mining with Weka (5.4: Meta-learners for performance optimization)
weka smoSVM demo
Filtros WEKA - Normalize
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Last Updated: September 28, 2026
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Summary
I will post contest related video very soon. Watch this technical demo to learn more about the Data Mining(3160714) Preprocessing- To access the code go to the Machine Learning Tutorials Section on the Tutorials page here: brunel.ac.uk/~csstnns ... This video presents a simple guide on how to easily search for the best values for hyper- How to use InfoGainAttributeEval for Attribute Ranker in Lab session 3: How to add and remove packages to Here I demo the support vector machine algorithm in the software