We continue our investigation of the pyhctsa package to understand how its generated feature matrix can be used with different machine learning techniques to understand data.

We look at how to produce Kernel Density Mappings in Python. In this example we map density of squirrel sightings in Central Park from 2018 via Scipy and Scikit-learn.