Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan

The course is overwhelmingly interesting and provides readily available tools. The teaching assistants and professor are all extremely helpful. Absolutely suggested!

Very excellent course. Well done explanations even if there is some language confusion. Taking the time to really understand the concepts makes all the difference.

Inspirational course, learning you in a comprehensive manner, a thorough approach to machine learning with the target specific peculiarities and possible pitfalls.

A course that gives not only solid understanding of Machine Learning, but provides with skills to actually practice it on real world datasets. Highly recommended.

I like how the many different ML algorithms are explained in such a high-level. This is a good anti-dote to more theoretical courses. Best MOOC I have done so far.

Fantastic, and challenging course, a must and recommended. For those who are interested in Machine Learning and have experience with Pandas and Python programming.

Great course, with clear explanations. It is a great introductory course. As the name implied, this is for applying the tools needed for Machine Learning practice

It was really great and improved my knowledge of machine learning algorithms. However the assignment were so diffrent from what have been teached in the courses.

Very good introduction to machine learning with scikit-learn. The main important algorithms are discussed, and you learn how to apply them to real world data.

A very good course that I would recommend for others to take. It covers quite a bit of material but it is still worth it. Very satisfied with what I learned.

The evaluation is sometimes problematic, otherwise is very good. I had a problem with matplotlib which was just imported and nowhere was written to remove it.

really great course, using online jupyter notebook is a great way to increase hands on experience. auto-grader needs some improvements but not a huge problem

I learn many new things which I have not learn in my university.The best quality courses encourage me to learn and explore more in deep Machine learning.

excellent course. Lectures were good, not too heavy on theory, and assignments were challenging but doable. I liked assignments much better than the quizzes

Great course. The material is well thought, the assignments are excellent. I learned a lot and I am already leveraging what I learned in the course at work.

Perfect course! No math, only applications, definitely I will use it later in my studies since course provides many useful examples / explanations / codes.

Excellent Course. Well presented and good organized python notebooks, quiz and assignments.

Enjoyed the project very much.

Looking forward for future classes

An ideal platform to start your discovery and exploration of the world of Machine Learning. A programming knowledge, however, is a necessary prerequisite.

Great course, very useful, with a very practical approach.

I suggest to everyone, working on datascience and that needs to familiarize with Python language

It is a good course that teaches how to apply machine learning models. I learnt basics from Machine Learning by Andrew Ng and learned to apply them here.

quite good， through this course I have gained knowledge and basic concept of machine learning and how to use python to run these machine learning models.

It is a really an awesome hands on short course. This course and the assignments mainly focuses on efficient and smart way of python programming for ML.

Great course which concentrates on practical application of where algorithms can be applied, also taking into consideration on how each algorithm works.

Truly enjoyed the course, especially the assignment in module 4. Course is different from other similar courses as it provides good hands on experience.

very good course: fast-paced, very straight-forward explained. Assignments do make sense and repeat what you learn during the course. I can recommend it