This is course is focused on performing hotspot analysis. We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.
Previous experience of using Python is required. Prior knowledge of machine learning is not necessary. It's assumed that the learner is aware of the basic mathematical notations and have worked with arrays and dataframes in Python.