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Orange is a machine learning and data mining suite for data analysis through Python scripting and visual programming.
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Description. Orange is a component-based visual programming software package for data visualization, machine learning, data mining, and data analysis. Orange components are called widgets.
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Orange is an open source data mining and machine learning tool that allows both visual programming and Python scripting. It supports common data mining tasks like classification, clustering, anomaly detection, and forecasting.
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The hexadecimal color #FFA500, known as orange, has RGB values of R:255 G:165 , B:0 and CMYK values of C:0, M:35, Y:100, K:0.
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Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for exploratory qualitative data analysis and interactive data visualization.
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The hexadecimal color #FFA500, known as orange, has RGB values of R:255 G:165 , B:0 and CMYK values of C:0, M:35, Y:100, K:0.
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Python Script Data (Orange.data.Table): input dataset bound to in_data variable. Learner (Orange.classification.Learner): input learner bound to in_learner variable. Classifier (Orange.classification.Learner): input classifier bound to in_classifier variable. Object: input Python object bound to in_object variable.
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