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  1. Apr 14, 2024 · Orange Data Mining is a software platform for data analysis and visualization, with widgets for visual programming, interactive data exploration, and extensions for specialized tasks. Learn how to use Orange for teaching, research, and data science applications.

    • Anaconda
    • Pip
    • Installing from Source
    • GeneratedCaptionsTabForHeroSec

    Create and activate a conda environment for Orange (optional, but recommended) Add conda-forge to the list of channels you can install packages from (and make it default) and run

    Orange can also be installed from PyPI. You may need additional system packages provided by your distribution. If your system does not already provide PyQt, install it from PyPI Finally, install Orange

    Clone our repository from GitHub or download the source code tarball. Then follow the instructions in README.md

    Orange is a data mining software that can be used for various tasks such as visualization, classification, regression, clustering, and more. Learn how to download and install Orange for Windows, macOS, or other platforms using different methods and tools.

  2. orangedatamining.com › getting-startedOrange Data Mining

    Orange Data Mining is a visual programming environment for data analysis and machine learning. Download the software, browse the widget catalog, explore the workflow templates and watch the YouTube tutorials to get started.

  3. Video tutorials for Orange data mining suite. Explanation of popular data mining algorithms and demonstration of workflow construction in the program.

  4. Orange is a data mining and visualization toolbox for novice and expert alike. It is installable with conda, pip, or winget, and has various add-ons for specific use cases.

  5. Dec 21, 2015 · Introduction to Orange data mining software. Learn about the development of Orange workflows, data loading, basic machine learning algorithms and interactive...

    • 2 min
    • 936.7K
    • Orange Data Mining
  6. Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative qualitative data analysis and interactive data visualization .