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学生对 Coursera Project Network 提供的 Clustering Geolocation Data Intelligently in Python 的评价和反馈

4.5
400 个评分

课程概述

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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NB

May 20, 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

Apr 17, 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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51 - Clustering Geolocation Data Intelligently in Python 的 59 个评论(共 59 个)

创建者 Satchit N

Apr 30, 2020

创建者 Jui B

May 22, 2020

创建者 NAMAN K

May 6, 2020

创建者 Akansha P

Jun 29, 2020

创建者 Aymen A

Apr 7, 2020

创建者 Sadat H

Jun 8, 2020

创建者 Asthsgarg

Jun 27, 2020

创建者 RAHUL D

May 2, 2020

创建者 LAGISETTY S S

Jun 27, 2020