Could cover more concepts

Not enough practice quiz

average course

quite good

Excellent

ok ok ok

too fast

good

s

This is basically a theory ML course disguised as an applied course. There are labs where you can see code be run, but there is no annotation describing what most of the code is doing or why it is written in the way that it is. Very frustrating and almost impossible to apply in real life. It teaches you the formulas for writing linear and logistic regression models, but not how to write the code architecture to get you to the point of implementation or testing. It does a good job of teaching ML vocabulary and the basics of regression. Ultimately, I would recommend you be at least an intermediate or expert Python user before taking this course. Beginners can take it, but they won't be able to take anything from it.

I passed the "Machine Learning" course by Andrew NG in 2019, and I took this course as a part of my specialization. So this course looks like a simplified and cut version of its predecessor. Most of the Lab files are not downloadable as PDFs, so, after the course finishes - you can't have that data with you. Quizzes are so much oversimplified, like 2 questions, I think in the previous course it was much harder and it took me time to learn things. This review is a bit chaotic, I am sorry for that. I know that Andrew Ng is a great teacher, and in the previous course, he gave so much more valuable information and the simplification of that course makes me sad.

I found it hard to follow and confusing. By the time, we finally got to do some hands on work, I felt totally unprepared. Could have done more to explain the python code or to work the student slowly into the coding assignment. All in all, I can not say if it a good specialization, yet after the first course I am looking for something more hands on and beginner friendly. I am a bit disappointed as I have heard only stellar things about this course.

The quizzes and labs are too easy to be of value, with many of the quiz answers literally being written in the image displayed above the question, and labs basically just require you to translate a specific equation into Python.

There isn't really a way to tell if I understand the content or not, I recommend you do not pay for this course.

I cant seem to access my optional lab materials even when i have not exceeded deadlines and dont have have an outstanding payment. it keeps telling me session timed out and keep repeating the same when i click the reopen button. i really enjoyed the course but i didnt like the fact that i couldnt access my optional lab material.

Very, very very basic. If you're looking to freshen up some concepts, this is not for you. I wouldn't even recommend this course to CS students as the course avoids at all costs at explaining the maths behind machine learning.

Great course if you know how to program, but you really need a python background to appreciate it.

quite too basics...too few practical exercise, just scratching the surface of ML

Impossible to do the exercises if you don't pay. The course is interesting.

Very nice and helpful for my next career steps.

too theoretical, not much hands on learning

Fix your week 2 lab exercise the last one

i want to see my name on this certeficate

no math exercises to practice

Oversimplified

not good