MODULE 79 – Orange Data Mining Software Video Tutorial (contributed by Gonca Demirel)

July 20, 2014
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Download this Module [37MB]MODULE 79 - Orange Data Mining Software Video Tutorial (contributed by Gonca Demirel)

Introduction

The Orange Data Mining Software is yet competent data analysis and visualization software, that includes many machine learning algorithms in it. The MODULE 79 Orange Data Mining Software Video Tutorial provides a detailed understanding of the software with relevant data and diagrams.

What’s Orange?

Orange is a component-based data mining and machine learning software suite, featuring a visual programming front-end for exploratory data analysis and visualization, and Python bindings and libraries for scripting. It includes a set of components for data pre-processing, feature scoring and filtering, modelling, model evaluation, and exploration techniques. It is implemented in C++ and Python. Its graphical user interface builds upon the cross-platform Qt framework. Orange is distributed free under the GPL. It is maintained and developed at the Bioinformatics Laboratory of the Faculty of Computer and Information Science, University of Ljubljana, Slovenia.

Orange is supported on various versions of Linux, Apple\’s Mac OS X, and Microsoft Windows. The module helps the use to get a hands-on approach of the Orange software.

Download this Module [37MB]

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