Program for visualization of the variables' space before and after the learning phase and during the KNN classification.
π₯ v.1 Desktop Application in .py -> main file
π₯ v.2 Jupyter Notebook in .ipynb -> NotebookVisualisation.ipynb
It supports 40+ unique chart types to cover statistical, financial, geographic, scientific, and 3D use cases. It uses D3.js, HTML and CSS, which helps in integrating many interactive functionality like zoom-in and out, or mouse hover