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People who don’t know more about coding and willing to visualize pattern and other stuff can easily work with Orange.Why Orange:Orange is an open-source software package released under GPL that powers Python scripts with its rich compilation of mining and machine learning algorithms for data pre-processing, classification, modeling, regression, clustering and other miscellaneous functions.Orange also comes with a visual programming environment and its workbench consists of tools for importing data, dragging and dropping widgets, and links to connect different widgets for completing the workflow.Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy, and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.Getting Started:Here is how to get started with data visualization in orange.Download Orange=> Go to and click on Download.For Linux Users:AnacondaIf you are using python provided by Anaconda distribution, you are almost ready to go. Orange is one of the popular open source machine learning and data visualization tool for beginners. Nowadays and for the next approximately two decades, we will continue to see a major need for machine learning and data science specialists to help apply machine learning technologies to application areas where they aren't applied today.Nowadays people prefer GUI based tools instead of more coding stuff. Machine learning will become a usual part of programmer’s resume, data scientists will be as common as accountants. Building Machine Learning Model Using Orange Is Funīy Himanshu Awasthi Introduction:Data has become a powerful source of earning and predict future and people will seek to utilize it even if they don’t know exactly how.