Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Weka can be used to build machine learning pipelines, train classifiers, and run evaluations without having to write a single line of code.
Weka is tried and tested open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j.
Support / Documentation
Follow the post setup instructions on our website - Setup Weka on AzureDisclaimer: Weka is a registered trademark of WaikatoLink Ltd (University of Waikato) and is licensed GNU General Public license 3.0. No warrantee of any kind, express or implied, is included with this software. Use at your risk, responsibility for damages (if any) to anyone resulting from the use of this software rest entirely with the user. The author is not responsible for any damage that its use could cause.