WEKA is an open source machine learning software developed by the University of Waikato that provides a graphical user interface and Java API. It contains tools for data preprocessing, classification, regression, clustering, and association rule mining algorithms. WEKA is widely used for teaching, research, and industry applications and allows access to other machine learning toolboxes.

1. WEKA

2. Introduction to WEKA
• Data Mining Tool(We can call it as Machine learning Tool)
• Developed by University of Waikato
• Ditfferent Machine Learning algorithm for Data Mining
• Open source and free
• Easy to use(User Friendly)
• Data Preprocessing tools
• Flexiblity for sripting experiments
• Includes a GUI( Graphical User Interface)

3. Introduction to WEKA (Cont...)
Main Features
 49 data preproocessing tools
 76 classification/regression algorithm
 8 clustering algorithm
 3 algorithm for finding association rules
 15 attribute/subset evaluators + 10 search algorithms foor
features selection

4. Download WEKA Setup
• https://prdownloads.sourceforge.net/weka/weka-3-8-6-
azul-zulu-window.exe

5. • Weka is tried and tested open source machine learning
software that can be accessed through a graphical user
interface, stadard terminal appplications, or a Java API. It
is widely used for teaching, reserach, and industrial
applications, contains a plethora of built-in tools for
standard machine learning tasks, and additionally gives
transparent access to well-known tooboxes such as scikit-
learn, R and Deeplarning.
• Search in goole(Weka)

6. Download WEKA

7. Download(Cont...)

8. Installtion Steps
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9. Instaltion Steps (Cont...)
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10. Instaltion Steps (Cont...)
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11. Instaltion Steps (Cont...)
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12. Instaltion Steps (Cont...)
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13. Lunching Weka
Run the software and see the
interface
WEKA: Waikato Environment
for Knowledge Analysis
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