Chevron Left
Back to Clustering Geolocation Data Intelligently in Python

Learner Reviews & Feedback for Clustering Geolocation Data Intelligently in Python by Coursera Project Network

4.5
stars
401 ratings

About the Course

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....

Top reviews

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.

Filter by:

51 - 59 of 59 Reviews for Clustering Geolocation Data Intelligently in Python

By Jorge G

•

Feb 25, 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

By Satchit N

•

Apr 30, 2020

It wasn't a long project and through the quiz, I cleared all my concepts. I downloaded the dataset and ran it on my local machine which was far better than the cloud space provided to us. I wish they would have elaborated more on the last part and explored more algorithms. Still, it was a nice experience and I had fun working through the data.

By Jui B

•

May 22, 2020

Not enough explanation about dbscan and hdbscan. Can be explained more or properly to understand.

By NAMAN K

•

May 6, 2020

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

By Akansha P

•

Jun 29, 2020

More explanation and time required to be given for the project

By Aymen A

•

Apr 7, 2020

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

By Sadat H

•

Jun 8, 2020

The instructor wasn't good enough

By Asthsgarg

•

Jun 27, 2020

it is useful

By 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