Clustering Geolocation Data Intelligently in Python
In this 1.5-hour long project, you will learn how to clean and preprocess geolocation data for clustering. You will learn how to export this data into an interactive file that can be better understood for the data. You will learn how to cluster initially with a K-Means approach, before using a more complicated density-based algorithm, DBSCAN. We will discuss how to evaluate these models, and offer improvements to DBSCAN with the introduction of HDBSCAN. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
由 AM 提供Aug 28, 2020
Very Insightful Project. I really liked it!!! Thumbs up to the developer. Thank you so much!!
由 MS 提供Apr 26, 2020
Learnt new applications of clustering algorithm.
由 AG 提供Jun 17, 2020
I am grateful to have the chance to participate in an online course like this!
由 RR 提供Jun 7, 2020
I really enjoyed working with this project. Thank you so much for the valuable teaching.