Title: Weka 3.6
Filename: weka-3-6-13jre-x64.exe
File size: 50.61MB (53,068,392 bytes)
Requirements: Windows (All Versions)
Languages: Multiple languages
License: Open Source
Date added: October 29, 2015
Author: Weka Development Team
www.cs.waikato.ac.nz/ml/weka


Weka is an accumulation of machine learning calculations for understanding certifiable information mining issues. The calculations can either be connected specifically to an information set or called from your own Java code.
The application contains the instruments you'll requirement for information pre-handling, characterization, relapse, bunching, affiliation rules, and representation. It is likewise fitting for growing new machine learning plans.
Key elements include:
•           Machine learning.
•           Data mining.
•           Pre-handling.
•           Classification.
•           Regression.
•           Clustering.
•           Association rules.
•           Attribute choice.
•           Experiments.
•           Workflow.
•           Visualization.
Weka's gathering of calculations reach from those that handle information pre-preparing to displaying. It's center information mining calculations incorporate relapse, bunching and order.
In spite of the fact that Weka has a full suite of calculations for information examination, it has been manufactured to handle information as single level records. Hence, it doesn't handle multi-social mining and grouping displaying.
By and large, Weka is a decent information mining apparatus with a far reaching suite of calculations. The interface is OK, in spite of the fact that with four to browse, each with their own particular qualities, it can be cumbersome to pick which to work with, unless you have an exhaustive information of the application.

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