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

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]

[su_spoiler title=”Dr. Gürdal Ertek recommends the following related books:” open=”yes” style=”fancy” icon=”caret”]


Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) 3rd Edition

 

 

 

 


Data Mining and Analysis: Fundamental Concepts and Algorithms 1st Edition

 

 

 

 

 

 

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