Excellent

ok ok ok

too fast

decent

good

s

The coding part wasn't really taught at all. The professor explained the mathematical concepts well but i was also expecting to actually learn the coding from scratch

the preatice lab is not correct it has error i am not able crt those error because the lab is not able to write the code

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.

The course should have mentioned that Python knowledge is a prerequisite.

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

suggest don't include code

Oversimplified

not good

Lab

Me paso lo mismo con el curso anterior y es que si no realizas los laboratorios aunque hayas aprobado todo y a pesar de que los test te dan como aprobados dicen que no apruebas y que quedas en 0%, es algo como reiterativo con coursera asi que me rindo, no continuo intentando sacarme certificados por acá

Awful course. Labs aren't explained clearly at all. You pay £37 per month and you end up with a few slides a few hours of explanation and unclear labs. The final graded assignment was a joke as well, the very first exercise was the hardest of them while the rest was trivial.

Mostly I was inundated with Nagware after ever short video segment, only to discover that Machine Learning learning was not even introduced. Wasted much time on trivialities like linear regression. I never learned anything about Machine Learning, per se.

please help in coding part , theory won't be helping building real world models, please increase lecture length and do include coding part , please otherwise it is just understanding of theory which is of no use unless implemented by ourselves