SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. SIMON implements machine learning (autoML) and statistical data discovery features that will help you to illustrate dynamic relationships and provide you with a structural sense of your data.
Goal of this project is to make user interface that will empower scientists, makers and others to extract meaningful information from their data and enable them to rapidly use and quickly prototype with different machine learning algorithms. At the end It gives you freedom and control over your own models. genular is an entirely open source organization, if you wish to learn more visit us here at https://genular.org
In our list of best programs, we'll review some different alternatives to SIMON. Let's see if your platform is supported by any of them.
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Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI. (The application is named after a flightless bird of New Zealand that is...
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Apache Mahout is an Apache project to produce free implementations of distributed or otherwise scalable machine learning algorithms on the Hadoop platform. Mahout is a...
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ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It...
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