Andrew sir is phenomenal only concern is lagging of labs

More MCQs and More assignments would be of more help.

Better than the first course because of more topics

More quizzes can be added during the video

Decent introduction, hand-wavy at times

I need more projects to practice on it

less coding part in videos of week 4

good course for machine learning

Bugs in assignment

Nice course for ML

Much Thanks

Great!

good

good

It was a great intro but I found some of it to be a bit surface level in this course compared to the other courses and decision trees seem to be very impactful. For example, I would like more depth on things like how to properly evaluate the performance of decision trees and how one might use that analysis to optimize. The neural network courses we used cross validation and variance and bias to create ways to pursue effective next steps. Overall it was a great crash course, but I feel I have a lot more studying to do here and it might have been nicer to spend another couple hours in the course touching on some deeper topics.

The NN explanation was very bad. I think Andrej Karpathy did a much better job at doing that. I actually watched that first and then this course and it made lots of sense to me.

Very good at the begining. But a little borrowing in week 4.

I learnrd many skills. Thank you

I believe if there are more practices and much challenging ones it would be more beneficial.

Excellent content except for decision trees

good

The course expands the subject of machine learning in an appropriate and interesting way. Unfortunately, the quality of the downloadable material is insufficient, as the course describes multiple graphs and equations with numerous superscripts and subscripts, but unfortunately it is not possible to download the material in the slides, so as the complexity increases it becomes very difficult and stressful to take notes. This results in passive listening to the video, which certainly has a negative effect on real learning. Finally, each exercise contains the solution and it is therefore possible to pass the course passively without having learnt anything.

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.

more emphasis on coding, notations etc.

La verdad no me gustó porque finalmente uno lo intenta y sin aprobar los laboratorios que no entiendo por que dan error si apruebo los test, segun el sistema igualmente indican que no estás aprobado y no hay forma de obtener los certificados aunque hayas cursado todo y aprobado los examenes remanentes, asi que mal, realmente me ha pasado ya varias veces con coursera asi que me rindo siento que así no vale la pena tanto esfuerzo porque al final vale es el certificado

If I could give it negative stars I would. You have completely wasted my time and money. I got to the next-to-last question on the last graded lab, and although my results appeared to match what was required -- according to the lab feedbac - an odd Python error was triggered that caused my submission to be ungrade-able. ZERO useful feedback provided. This ended up being a rip-off.