Clustering Geolocation Data Intelligently in Python

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Clustering Geolocation Data Intelligently in Python provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Clustering Geolocation Data Intelligently in Python is taught by Ari Anastassiou. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Coursera Project Network via Coursera

1-2 hours worth of material

Upcoming

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.

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Language

English
Certificate
Paid Certificate Available
Date of Start
07th November, 2022
Level
Intermediate
Price
Paid Course
Provider
Coursera
Taught By

Ari Anastassiou
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Clustering Geolocation Data Intelligently in Python

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