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Avis et commentaires pour d'étudiants pour Clustering Geolocation Data Intelligently in Python par Coursera Project Network

4.5
étoiles
393 évaluations
60 avis

À propos du cours

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....

Meilleurs avis

NB
20 mai 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 avr. 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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1 - 25 sur 59 Avis pour Clustering Geolocation Data Intelligently in Python

par Umar H

28 avr. 2020

Course is amazing in terms of content, professor's instructions, and exercises. However, the tool used in this course is quite slow and actually messed up my most of time. I would advice students to use their own python notebooks on their computers for this exercise. I wish I knew it in advance so I might not have saved a lot of time.

par Mayank S

26 avr. 2020

Great Project.

Learnt new applications of clustering algorithm.

Thanks sir.

par Pujith S K K

7 avr. 2020

It is ok to try this as it is just for 2 hours and you will get hands-on experience working with Python libraries.

par Anisom C

7 juin 2020

This guided project is very much promising from each and every aspect. This project does not only provides a better understanding of Python, but it also provides an ample amount of knowledge of Data processing and Machine Learning.

par neha b

21 mai 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.

par Tayyabali S

18 avr. 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.

par SOURAV D

13 juin 2020

Nice hands-on course to get introduced with the some popular clustering approaches like k-means, DBSCAN, HDBSCAN etc.

par ANKIT B S

17 juin 2020

It was really interesting. I was able to use this guidance in one of my college projects simultaneously. Thank you.

par KUBİLAY S

4 oct. 2020

Thanks for the course, it was a very relevant and meaningful training. I learned a lot. I thank the Coursera team.

par arpit m

29 août 2020

Very Insightful Project. I really liked it!!! Thumbs up to the developer. Thank you so much!!

par Chaitanya S

25 juin 2020

The cloud Desktop Rhyme was slowing down. But the project content and instructor were superb.

par Ramya G R

8 juin 2020

I really enjoyed working with this project. Thank you so much for the valuable teaching.

par ACEBEDO, A M (

8 mai 2020

A most practical, hands-on approach to handling location intelligent data using Python!

par Abhishek P G

18 juin 2020

I am grateful to have the chance to participate in an online course like this!

par Sebastian J

23 avr. 2020

Awesome course only for those who at least a base on clustering.

par Atharva M C

25 avr. 2020

Excellent course for starting working with geolocation data.

par LATHA S K

30 avr. 2020

Good project which is based on python and interesting.

par Carlos F d S A

4 juil. 2020

Very good approaches ! Congratulations !

par Tejas

15 juin 2020

Nice hands on project experience

par Ashwin P

23 avr. 2020

Excellent Course on Geolocation

par Prince R

7 juin 2020

Thank you for your hard work.

par Smriti T

22 mai 2020

good explanations !

par Gangone R

3 juil. 2020

very useful course

par AISHWARYA V

4 juin 2020

good experience

par Vishal Y

3 juin 2020

Good project