Clustering Geolocation Data Intelligently in Python

This 1.5-hour-long project will teach you how to clean and process geolocation data for clustering. This tutorial will show you how to export the data into an interactive file so that it can be more easily understood. The K-Means approach will be used to cluster the data, followed by DBSCAN, which is a density-based algorithm. These models will be evaluated and improved with the introduction HDBSCAN. Note: This course is best for those who live in the North America region. We are currently working to offer the same experience in other areas.