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Вернуться к Clustering Geolocation Data Intelligently in Python

Отзывы учащихся о курсе Clustering Geolocation Data Intelligently in Python от партнера Coursera Project Network

4.5
звезд
Оценки: 393
Рецензии: 60

О курсе

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....

Лучшие рецензии

NB
20 мая 2020 г.

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 апр. 2020 г.

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.

Фильтр по:

1–25 из 59 отзывов о курсе Clustering Geolocation Data Intelligently in Python

автор: Umar H

28 апр. 2020 г.

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.

автор: Mayank S

26 апр. 2020 г.

Great Project.

Learnt new applications of clustering algorithm.

Thanks sir.

автор: Pujith S K K

7 апр. 2020 г.

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

автор: Anisom C

7 июня 2020 г.

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.

автор: neha b

21 мая 2020 г.

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.

автор: Tayyabali S

18 апр. 2020 г.

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.

автор: SOURAV D

13 июня 2020 г.

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

автор: ANKIT B S

17 июня 2020 г.

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

автор: KUBİLAY S

4 окт. 2020 г.

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

автор: arpit m

29 авг. 2020 г.

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

автор: Chaitanya S

25 июня 2020 г.

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

автор: Ramya G R

8 июня 2020 г.

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

автор: ACEBEDO, A M (

8 мая 2020 г.

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

автор: Abhishek P G

18 июня 2020 г.

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

автор: Sebastian J

23 апр. 2020 г.

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

автор: Atharva M C

25 апр. 2020 г.

Excellent course for starting working with geolocation data.

автор: LATHA S K

30 апр. 2020 г.

Good project which is based on python and interesting.

автор: Carlos F d S A

4 июля 2020 г.

Very good approaches ! Congratulations !

автор: Tejas

15 июня 2020 г.

Nice hands on project experience

автор: Ashwin P

23 апр. 2020 г.

Excellent Course on Geolocation

автор: Prince R

7 июня 2020 г.

Thank you for your hard work.

автор: Smriti T

22 мая 2020 г.

good explanations !

автор: Gangone R

3 июля 2020 г.

very useful course

автор: AISHWARYA V

4 июня 2020 г.

good experience

автор: Vishal Y

3 июня 2020 г.

Good project