Tutorial software weka

Once the data is ready, you would apply various Machine Learning algorithms such as classification, regression, clustering and so on to solve the problem at your end. The type of algorithms that you apply is based largely on your domain knowledge. Even within the same type, for example classification, there are several algorithms available. You may like to test the different algorithms under the same class to build an efficient machine learning model.

While doing so, you would prefer visualization of the processed data and thus you also require visualization tools. In order to use Weka in systems based on different platforms, one can use the command prompt algorithm interface. Toggle navigation. Weka Weka — is the library of machine learning intended to solve various data mining problems. About Weka tool Project goals : creating the modern environment to develop various machine learning methods and implement them in real data, making machine learning methods accessible and available for the wide audience.

Implementation of Weka software Weka is an open-source software solution developed by the international scientific community and distributed under the free GNU GPL license. Functionality and features of Weka machine learning Weka offers Explorer user interface, but it also offers the same functionality using the Knowledge Flow component interface and the command prompt. Explorer contains several different tabs. Weka tutorial On this page, you can find a detailed Weka tutorial in order to read or to watch the required information.

Otherwise, please watch the following video tutorials:. Weka integration by Java Weka provides direct access to the library of implemented algorithms. Weka API. How to use Weka in your Java source code: In order to use Weka in systems based on different platforms, one can use the command prompt algorithm interface. Then, WEKA would give you the statistical output of the model processing.

It provides you a visualization tool to inspect the data. The various models can be applied on the same dataset. You can then compare the outputs of different models and select the best that meets your purpose. What is Weka? Previous Page.