YC
30. Apr. 2022
Excellenct course.
I could experience so many methodologies.
So tough to finish each project.
I really thank IBM and Coursera for this great course with just so small tuition fee.
MB
6. Mai 2021
A very well-structured course with useful techniques and detail guidelines. The Python code templates are also really useful when bringing into real-life problems.
von Ashish P
•9. Apr. 2021
Interesting course with a whole bunch of new algorithms! Although great work from the tutor in explaining all those slides and the codes, still sadly, I would again point out that the Accent is really really hard to comprehend, inspite of the fact that English is like my native language.
Secondly, in the latter half of the course, specially in the labs for Arima, Sarima, FB prophet etc. where there is a whole bunch of complex new information to be digested, the pace in the labs feels to be apparently very rushed and haphazard.
There are too many concepts presented together but in the end it remains still quite unclear the sequence in which these methods could be applied to solve real world problems.
Helpful would be to use more real world Data Sets than Toy sets and show the sequence in which all these different Algorithms could be applied together on the same data set, to compare their performances.
Nevertheless, owing to the complexity of the subject, I appreciate the hard work put in by the tutors and the team at coursera and IBM!
Thank you!
von Lam C V D
•10. Okt. 2020
The problem with this course is they use simulated data which cannot cut it. They need to use real life datasets and students given chance on how to do it properly.
von R W
•26. Juli 2021
This course was added to the Intro to ML certificate. The material is useful for a data analyst/ML practitioner, but the presentation is not at the level of the other courses. The introductory labs introduce the concepts of time series analysis well, with hands-on examples, but the discussion of AR, MA, and ARIMA models is muddled and the labs for these models are not well constructed (this is the only course in this series where I felt I had to go to other sources in order to understand some of the basic concepts) . The course would be improved with a more detailed walk thru of the steps in building ARIMA models (the Box-Jenkins criteria were not covered in lecture?). The prophet module and the DL lessons seem sort of tacked on -- I would have benefitted from more explanation of how to design a DL model to handle a time series analysis. Overall, I think this topic is a good addition to the corpus, but the specific design and presentation of the material is ineffective.
von Mohamed G H
•26. Feb. 2021
Not much details but good as an overview on the topic
von Keyur U
•24. Dez. 2020
Toughest of all the 6 courses in the bunch.
von Adam L
•19. Sep. 2021
1/5 starts
TLDR: instructors do not explain how models work very well, just give ways to apply them
Notebooks are good material however the instructor does not do a good job at all ramping the explanation of model complexity from the lectures to the applications.
A major problem with this course is that the instructors promote a "black box" mentality, that is, do not explain to many lengths how the models work and gloss over many mathematical concepts and tell the users to just trust that it works and implement the API. I do not agree with this method of teaching is it cultivates a dangerous environment for data scientists/ analystics etc. To understand how to implement a model without having a high level understanding of the inner workings is not a practical approach and will lead to catastrophes when being rolled into production in industry.
I would encourage the instructors to fully audit the course material especially for the last 2 weeks of the course and provide more comprehensive material on the math behind the models rather than just referring to wikipedia pages.
von My B
•7. Mai 2021
A very well-structured course with useful techniques and detail guidelines. The Python code templates are also really useful when bringing into real-life problems.
von Rufus T
•8. Apr. 2021
Good course with some useful tips, the Survival part of the course was particularly interesting.
von Bishal B
•4. Apr. 2022
The IBM Machine Learning Professional Certificate course is one of the complete course for someone familiar with python and wanting to learn different machine learning techniques. The final course of this professional certificate specialized models: time series and survival analysis is a good courses which introduces time-series based analysis such as ARMA, ARIMA and deep-learning models. The only downside of this course is that the discussion about survival analysis is too short. May be special-section can be provided as honors so that students can submit two homeworks i.e. for time-series and survival analysis.
I would highly recommend anyone who is wanting to learn about machine learning techniques and best practices to take this course.
von Mehul D S
•1. Juli 2021
Really great course to start and enhance your ML and Time series analysis. This course will touch base to all different aspects of Time series analysis. Also if you work on project work will help to acquire additional knowledge.
von yong s c
•1. Mai 2022
Excellenct course.
I could experience so many methodologies.
So tough to finish each project.
I really thank IBM and Coursera for this great course with just so small tuition fee.
von Ghada S
•16. Mai 2021
It is a good course to build foundation on the modeling of timerseries data. It will be good to add other lessons for anomaly detection on timeseries.
von SMRUTI R D
•24. Nov. 2021
This is an excellent course covering large areas of Time Series analysis and is a must for any one intending to learn the topics with some detail.
von Altemur Ç
•27. Nov. 2021
Clearly explaind. I am currently working on time series forecasting and predictions. This course helped me a lot about the details of the topics.
von Mikhail G
•17. Dez. 2021
I liked this course. It gives all the necessary information about classical machine learning algorithms as well as deep learning techniques
von Pavuluri V C
•24. Sep. 2021
this is one the great course i learned. both theoritical and practical went parrallely that made the course much more reliable.
von Alparslan T
•5. Jan. 2022
Really high level coding and intuition behind the whole idea of time series data. Thanks dear IBM.
von george s
•16. Sep. 2021
Everything perfect, just content of 3rd week could have better examples or be more explained.
von Juan M
•24. Juli 2021
Great course, very well taught and topics are useful for future applications
von Luis P S
•17. Juli 2021
Excelente! Recomendable para iniciar en el mundo del Machine Learning.
von Kevin P
•8. Apr. 2022
excellent and well explained course, especially for SARIMAX models.
von Jose M
•16. Feb. 2021
Again, thanks to the instructor in the videos
von fernandes m
•19. Juni 2021
very good. It could be better, but it ok.
von vikas v
•22. Nov. 2020
Amazing Concepts explanations
von Dennis B
•24. Juni 2022
Excellent!!!