Orange is an excellent tool for practicing Machine Learning (ML) and simulating models to enhance understanding of how they work. It is also open-source, making it available for use on Windows, macOS, and Linux.
From my experience, I am using 2 ways for downloading this tools,
- Download directly from the Official Orange Data Mining Website
- Download via Anaconda Navigator. You can download Anaconda Navigator from this
Anaconda Navigator
Here is a view of Anaconda Navigator
- Launch the Orange Data Mining application.
- From the
Data
navigation panel, click or dragDatasets
onto the canvas. - Select an existing dataset from the list.
- Click or drag
Data Table
onto the canvas. - Connect the
Datasets
widget to theData Table
widget to display the data. - From the
Model
navigation panel, click or drag the model you want to use onto the canvas. - From the
Visualize
navigation panel, click or drag the visualization tool you prefer onto the canvas. - Connect the
Datasets
widget to theModel
widget you have chosen. - Connect the
Model
widget to the visualization tool to display the results.
With these steps, you can easily set up and explore machine learning models using Orange Data Mining.