Learn WEKA with Real Code Examples

Learn Weka GUI Explorer basics

Understand filters, classifiers, and evaluation

Practice KnowledgeFlow for workflow chaining

Explore scripting with CLI or Java API

Apply to datasets for classification, regression, and clustering

Week 1: GUI-based classification experiments

Week 2: Preprocessing and attribute selection

Week 3: KnowledgeFlow workflows

Week 4: Automate tasks via CLI or Java API

Week 5: Integrate Weka into larger Java projects

What is an Instance in Weka?

Explain KnowledgeFlow vs Explorer interface

How do you handle missing values in Weka?

What are Filters and how are they used?

How do you integrate Weka with Java or Python?

Explorer = GUI for datasets and classifiers

KnowledgeFlow = visual workflow designer

Instances = dataset representation

Classifier = algorithm for prediction

Filter = preprocessing operation

Data Mining: Practical Machine Learning Tools and Techniques

Mastering Weka for Data Mining

Machine Learning with Weka

Applied Data Mining with Weka

Hands-On Machine Learning with Weka

Weka official tutorials

YouTube step-by-step workflows

University of Waikato ML course materials

Blogs and online guides for Weka experiments

Hands-on exercises using sample datasets

https://www.cs.waikato.ac.nz/ml/weka/

https://waikato.github.io/weka-wiki/

Weka mailing lists

StackOverflow Weka tag

GitHub Weka packages

Reddit data science groups

Academic forums and tutorials

Weka mailing lists and forums

StackOverflow Weka tag

University of Waikato documentation

GitHub repositories for Weka packages

Academic tutorials and online courses