Volver a Clustering Geolocation Data Intelligently in Python
Opiniones y comentarios de aprendices correspondientes a Clustering Geolocation Data Intelligently in Python por parte de Coursera Project Network
394 calificaciones
Acerca del Curso
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.
Principales reseñas
NB
20 de may. de 2020
It would be better if there was no time limit to the project on VM as the VM was too slow.Rest the instructor was awesome ,content was perfect and whatever he taught was very well understood.
TS
17 de abr. de 2020
Thanks a lot, It was a short, quick and very useful project learning experience. Hope you will provide more geospatial data analysis projects in future soon.
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