The way the course is evaluated could be different, because it is too literal and sometimes you get to the same answer doing different things.

I thought the HW was a bit too easy. I understand this is MOOC, but perhaps some optional assignments that don't have as much templated code.

Overall, the course is good. But, the last assignment of using KNN means with LSH is a bit difficult to understand. That needs improvemnt.

In general good. The only problem was that some notebooks have typos, which makes the exercises a bit confusing. In particular in week 4.

The course content was well planned and assignments were good. But due to several errors in videos and grader issues, giving a star less.

Course content is good, however, there are a number of bugs and errors in the quizzes and assignments that may throw people off.

I think the intuition for PCA should have been expanded a bit more, but overall a very good introduction to the specialization.

Great course, but it will be better if the instructors add a few more practical examples and explain a bit more the topics.

Last section LSH is a bit difficult, please add more details and extend current videos length to make LSH understood better.

There were some unexplained moments (like PCA implementation in the 3rd course), but overall the course seems good.

Me ayudó mucho este curso para entender como programar en python enfocandome al procesamiento del lenguaje natural

The final week of the course is not necessary (can be set as optional), since it's not commonly used in industry.

There were some files in the assigments that had a lot of bugs. But the rest of the course was very good.

Some of the concepts are too basic in the course and proper emphasis on vectorized operations is lacking.

Very nice. (Would be even better if you can iron out all the little typos in the labs/assignments.)

Course content was OK, but the instructer's performance is below average. I am sorry to say that.

Informative course. Notebooks are well explained and very helpful to learn many concepts of ML.

lab and assignments should be to understand and practice the theories, not programming skills

Everything is perfect but the notes are super weak and abstract. Good notes defines a course

good one! I would have done more complex tasks as assignments. Rather than that - very nice!

The explanation of topics is good, however the assignments seem a little spoon fed at times

Maybe you could be more rigorous, like in week 1 with the optional derivation of equations

Course Material needs to be improved. But overall good course and teaches the way for NLP.

Excellent Course that provides detailed insights on usage of NLP and all of its concepts

This is a must course if someone want to turn theoretical knowledge into practical ones