nice

I am grateful to have attended this course. I have learned quite a lot and I believe, now, I have a solid general understanding of some of the most common ML algorithms. The instructor, Anna Koop is very knowledable and she has a very clear way of explaining the concepts. The reason why I haven't rated it 5-star is because the course is not really designed around practice. It is rather conventional in the sense that the instructor takes the central stage and students don't get to practice much. Quizzes are good, but they are far from being enough to give learners actual experience of "doing" machine learning. I am aware of the vastness of the field, and maybe that's why they kept the course intructor centered, but I still expect courses to push learners more in trying out the methods themselves and learning by doing. Still, the course is very beneficial and has valuable content. It is a great knowledge source as well. Warmest regards.

This course is a great overview of ML concepts. The professor is superb! I did not give 5 stars because the labs need to be improved. The labs are too simple. This course should provide more opportunities for applying the ML concepts.

Good overview course. I hope authors will add more practice task in the futrure

Learn some valuable insights on scikit-learn capabitlity through the labs

Many useful information but need some more explanation, overall awesome

More maths to explain the underlying concepts will be good!!

Machine learning concepts are introduced well.

week two was heavy

good

nice

nice

High level overview of Machine Learning, poor examples and incomplete labs.

good

It could have been better if the trainer had included more hands-on examples rather than just tuning the slides and most important algorithms and its usage was there in the attached links for reading and I felt if this could have been taught in the training rather than just a document to read and self learn the quality of the course would have been fantastic.

Doesn't explain in a good way the models used. Only explain how to use them. I really need the math and a deep explanation to understand how to use the function. This is like they just give you the documentation and do examples.