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Analyzed 9 months ago. based on code collected 11 months ago.

Project Summary

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

Tags

algorithms analysis api artificial_intelligence association_mining association_rules business_intelligence classifiers clustering data data_analysis data_mining dimensionality_reduction framework intelligent_data_analysis java java_data_mining kdd knowledge_discovery library machine_learning packagemanager regression research timeseries

In a Nutshell, WEKA...

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Java
85%
XML
14%
5 Other
1%

30 Day Summary

Mar 19 2016 — Apr 18 2016

12 Month Summary

Apr 18 2015 — Apr 18 2016
  • 654 Commits
    Down -58 (8%) from previous 12 months
  • 3 Contributors
    Down 0 (0%) from previous 12 months

Ratings

15 users rate this project:
3.93333
   
3.9/5.0
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