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The Unsupervised Learning Workshop
book

The Unsupervised Learning Workshop

by Aaron Jones, Christopher Kruger, Benjamin Johnston, Richard Brooker, John Wesley Doyle, Priyanjit Ghosh, Sani Kamal, Ashish Pratik Patil, Philip Solomon, Geetank Raipuria
July 2020
Intermediate to advanced content levelIntermediate to advanced
550 pages
9h 58m
English
Packt Publishing
Content preview from The Unsupervised Learning Workshop

9. Hotspot Analysis

Overview

In this chapter, we will perform hotspot analysis. We will also visualize the results of hotspot analysis. We will use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. We will build kernel density estimation models. We will describe the fundamentals behind probability density functions. By the end of the chapter, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.

Introduction

In the preceding chapter, we explored market basket analysis. Market basket analysis, as you hopefully recall, is an algorithm that seeks to understand the relationships between ...

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Publisher Resources

ISBN: 9781800200708Supplemental Content