Ratings and Reviews for Applied Machine Learning in Python

Precise and concise. Good for getting started in using Python for ML

TLDR : This is truly an EXCELLENT course if you already have a good theoretical basis in machine learning and good skills in python programming. Otherwise this will not be a pleasant experience for you. As far as I am concerned, I worked it along with several books and this course helped me learn quick and effective hands-on machine learning skills, to complement my theoretical knowledge. If you are a complete beginner in ML, this is clearly not a stand-alone course and you will need, for example, to refer to either Andrew Ng's coursera course on machine learning or to Christopher Bishop's book (as I did). Overall, I consider this course has helped me a lot and I learned a huge amount of useful things and good practices. I now feel confident enough to apply for jobs in the ML field, which is what I enrolled (and paid) for. Nevertheless, I would have appreciated a dedicated section specifically on how to handle categorical variables. This matter is not really treated throughout the 4 weeks and I think it would have been a better choice to include it instead of the very superficial optional introduction to Deep learning. Anyway, thanks for putting up this quality course, it was a very good experience to me.

Amazing!

Best course with the best professor!!!

Very helpfull!!

That was a great and challenging course. I am glad I took it, I learned a lot from the videos and especially from the labs. The last lab took me 5 days to figure out while I was benefit a lot from succeeding in coding it. Thank you,

The course is a good introduction to ML. It covers lots of basic supervised ML techniques. The lecture slow pace is appropriate for presenting complex issues. It would have been beneficial to spend more time on the python case studies that are barely explained. Coursera platform issues with submitting and grading assignments should be highlighted in the assignments; not embedded in the forum.

It is such an interesting and practical course for machine learning. If you are looking for courses which allow you to apply what have you learned in practical problems, this is a very good option to consider. I liked how this course is structured, it teaches you the theory first, and then ask you to use what you have just learned (of course, not 100% coverage), which definitely provides a valuable learning experience. Highly recommended for someone who is interested in data science in general.

The videos and jupyter notebook skeletons for this class are excellent! I've learned a lot and feel much more equipped to take on machine learning problems in the future. The quizzes were also informative, although the code sections were a little unintuitive as the base code was not visible. I also benefited from the forums where most of my questions already had written answers! My one hang up with this course is that one of the instructors/TAs responding in the forums was often rude and condescending to students. The information he provided was valuable, but his wording were needlessly cutting. More than once I saw responses he gave that were poorly worded in this way.

Course is Good and Very well presented