Chevron Left
返回到 Clustering Geolocation Data Intelligently in Python

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

4.5
378 个评分
58 条评论

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....

热门审阅

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.

筛选依据:

51 - Clustering Geolocation Data Intelligently in Python 的 57 个评论(共 57 个)

创建者 NAMAN K

May 6, 2020

The explanations about the libraries used in the course was not fulfilling

创建者 Akansha P

Jun 29, 2020

More explanation and time required to be given for the project

创建者 Aymen A

Apr 7, 2020

it's better to give data and try it using personal device

创建者 Sadat H

Jun 8, 2020

The instructor wasn't good enough

创建者 Asthsgarg

Jun 27, 2020

it is useful

创建者 Rahul D

May 2, 2020

it would be really helpful if you could provide the source code file,moreover their was no response in the chatroom therefore it was difficult in completion in the project

创建者 LAGISETTY S S

Jun 27, 2020

Many Codes did not work properly