Free Download Weka Wiki for Windows PC. This is an effective and user -friendly machine learning software tool for data mining and predictive analysis. Provides a comprehensive set of algorithm for pre -processing, classification, regression, clustering, mining and service selection. The project developed by the new University of Waikato University. It is written in Java and is freely available on the basis of the GNU general public license. The name Weka comes from an endemic flying bird to the new -Zealand, reflecting the origin of the software. Intuitive graphical user interface (GUI) and extensive documentation suits for beginners and experienced machine learning users. which allows users to perform various machine learning tasks without writing any code. GUI provides easy access to a wide range of algorithms and devices, facilitating users to experiment with various techniques and methodologies. Theoretical background, practical examples and use guidelines. This documentation is invaluable in machine learning for new users and wants to learn more about the underlying principles and techniques. Including decision trees, supporting vector machines, nerve networks, K-average clustering and more. These algorithms can be used for various tasks such as classification, regression, clustering and mining rules. Advanced users can easily expand the functionality of software by developing algorithms or integrating existing libraries. It also supports different file formats, allowing users to import and export data from different sources. Running on operating systems. This makes it easier for users to work with software on the preferred platform without worrying about compatibility problems. Windows 11/10/8.1/8/7
- processor: minimum 1 GHz processor (2.4 GHz recommended)
- Ram: 2GB (4 GB or more)
- Free hard disk space: 200 MB recommended
Conclusion
Weka Wiki is a versatile and powerful machine learning software tool that offers a wide range of algorithms and devices for data mining and predictive analysis. Its user -friendly interface, extensive documentation and platform compatibility make it ideal for beginners and experienced machine learning users.
Weka Wiki 3.8.6 Download the full program
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