Dec 19, 2016 Get notifications on updates for this project. Get the SourceForge newsletter. Get newsletters and notices that include site news, special offers and exclusive discounts about IT products &. Nikolay Sal said. An impressive share, I just given this onto a colleague who was doing just a little evaluation on this. And he in truth bought me breakfast as a result of I found it for him. Trusted Mac download weka- 3-6-9. Virus-free and 100% clean download. Get weka- alternative downloads.
- Latest Version:
- Requirements:Windows XP64 / Vista64 / Windows 7 64 / Windows 8 64 / Windows 10 64
- Author / Product:Weka Team / Weka (64-bit)
- Old Versions:
- Filename:weka-3-8-2-x64.exe
- MD5 Checksum:5030cc597047847595056dff97ba4670
Weka 64-bit (Waikato Environment for Knowledge Analysis) is a popular suite of machine learning software written in Java. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. The app contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Weka 64-bit is open source software issued under the GNU General Public License.
Note: Requires Java Runtime Environment.
Also Available: Download Weka for Mac
Note: Requires Java Runtime Environment.
Also Available: Download Weka for Mac
Weka/weka-3.6.0.jar.zip( 4,428 k) The download jar file contains the following class files or Java source files.
Weka 3.6.5 Download
From Weka Team : 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.
What do you need to know about free software?
Download Weka 3.6 Free
From Weka Team :What Is Weka Software
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.