The ISIP Machine Learning Demo (IMLD) is an educational tool that
allows user to learn about machine learning by visualization of data,
decision surfaces, and algorithm results. Its principal features include:
- a step-by-step visualization of the components of an
algorithm including decision surfaces;
- uploading and downloading of user-defined data, making it
ideal for use as a reference implementation;
- a Python v3 implementation that runs on Windows, Linux and Mac.
IMLD began as a
developed in the late 1990's. It is easily installed on a platform that
includes Anaconda v3 and Python v3.7.