this course material was so helpful

Very well structured and taught

An truly exciting course!

thorough and well taught

I like this is cuourse

nice great learnig

Great course

very intense

best course

excellent

Excellent

good one

GOOD

Nice

Overall a good course. Nothing special though. In detail: Pros: 1. Very good example code (jupyter notebooks) given. Can even be studied stanalone. Can be used as a reference for future cases. 2. Provides an holistic view in the regression pipeline. Cons: 1. The course is outdated and not very professional and this is obvious in various examples, to name a few: a) There are some syntax errors in the notebooks. b) There are English grammatical/syntax errors. c) There is content in the notebooks that was never introduced in the videos (SGD). d) There are video duplicates with different naming. e) The provided notebooks (normally 2 notebooks) each week are sometimes provided is wrong chronological order. 2. The course lacks mathematical foundation. In order to fully understand the topic you need to read theory from other resources in parallel. 3. The instructor clearly reads a pre-written text and making his speech monotonic and hard to follow. 4. The slides are boring and highly simplistic.

The focus on the different views on regularization and their importance in the quiz seems overrated. While they are a good way to understand what regularization really is, it seems not too relevant for daily practical use. And since the different views all describe the same thing it's not a good way to have all those questions on them in the quiz, because essentially every answer would be true. Instead it would make sense to focus more on the different types of regularization, how they differ and their respective implementations in sklearn.

The content was great. However, there were numerous typos and more than half of the time the labs either wouldn't load and/or the notebooks were not the same as the videos. This was similar as the prior course.

Added extra good content, but poor explanation. Graded quiz are not well explained in the course.

Too many errors in exams. Repeated videos and deprecated python codes.

Good course , but many videos should be explained more visually

Algunos notebooks marcan error.

good and its very helpfull

ok

This would be a fantastic course, but there are no handouts! First off It would be nice to have a notebook on the code you're working on, since trying to follow along squinting at the instructor's notebook, is very poor way of teaching. You spend most of the lecture writing notes, so you may miss something the instructor says. You have better classes on the subject such as the University of Michigan's class. This class was the breaking point with IBM, especially as you get into the more technical issues. I appreciate IBM putting the material out but I have had it.

Too many Quizzes graded incorrectly