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.
Features
- machine learning
- data mining
- preprocessing
- classification
- regression
- clustering
- association rules
- attribute selection
- experiments
- workflow
- visualization
Categories
Machine LearningLicense
GNU General Public License version 3.0 (GPLv3)Follow Weka
Other Useful Business Software
Go from Data Warehouse to Data and AI platform with BigQuery
BigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
Rate This Project
Login To Rate This Project
User Reviews
-
Very Professional
-
no hablo espanol I don't speak english either
-
good
-
excellent tool. Sir, In earlier version we had artificial immune algorithms AIRS algorithms and Immunos algorithms and neural network algorithms , with Welaclassalgo do we have same algorithms in 3.8.4 version.
-
It is very efficient