There should have been a multivariate Time series example in this course, Otherwise it was great

overall good... but was expecting a bit more of it , being the last course in the specialization

Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!

Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."

I wish there was graded assignment as the quizzes are shallow and not enough to practice.

I would add some code assestments and challenges as requested for the previous courses.

This is just univariate time series . You should also teach multivariate time series.

need to be more advanced, with realistic data and problems. Do not use textbook data.

expand on why you choose certain code. add more references for learning python better

Nice practical course. However, it doesn't cover multivariate time series prediction

Weekly Examens should be harder, but the "learning" content is typically perfect!

If the sound quality is more loud & clear then this course becomes more fantastic.

This course is interesting and I have learned a lot of staff. Thank you, Laurence!

This is a really good introduction into the time series and sequences prediction.

The optional exercises should be graded, it was fun there, rather than the quiz!

Overall a good course. Would be a 5-star if there were some graded assignments.

graded programming assignments and variation in examples should be imported.

Great course!! However, there are some question that were left unanswered.

Probably the toughest course that could have done with more explanation.

Concepts and Importance of Fine tuning the parameters well explained!!

It will be better if there is also a multivariate time series example.

Very good! Good if you showed us how to work with our own data set

A few bugs present, but overall a good a course and specialization

I would have liked if they were more explicit about window sizing

Every step in programming should have been explained in detail