Using Orange to Build a Machine Learning Model

Advertisement

BEGIN ARTICLE PREVIEW:

Orange is an open-source, GUI based platform that is popularly used for rule mining and easy data analysis. The reason behind the popularity of this platform is it is completely code-free. Researchers, students, non-developers and business analysts use platforms like Orange to get a good understanding of the data at hand and also quickly build machine learning models to understand the relationship between the data points better. 

In this article, we will be understanding:

Why Orange?Installing and Setting up the tool Training your first machine learning model using Orange

Why Orange?

Orange is a platform built on Python that lets you do everything required to build machine learning models without code. Orange includes a wide range of data visualisation, exploration, preprocessing and modelling techniques. Not only does it become handy in machine learning, but it is also very useful for associative rule mining of numbers, text and even network analysis. 

Orange comes with multiple classifications and regression algorithms and all of these are implemented with drag and drop features.  It can be used as an intuitive user interface or, for more advanced users, as a module for the Python programming language.

Installing and Setting up the tool

There are …

END ARTICLE PREVIEW

READ MORE FROM SOURCE ARTICLE