Opiniones y comentarios de aprendices correspondientes a Applied Machine Learning in Python por parte de Universidad de Míchigan

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

It is an excellent course, an incredible guide. When I started, I had no idea where to start. This course has given me many tools to continue learning.

Very good hands-on course to explore the implementation of the major ML algorithms with Python - Probably more valuable with prior general ML knowledge

Amazing course. Initially frustrating, as assignments are pretty hard, but once you get into it, the learning is just immense. Thank you, Professors!!

Extraordinary course. Contents were very useful for the learning process. This is a good start for diving into this amazing world of machine learning.

Very informative and covers Machine Learning (along with scikit learn) in great breadth!! Would love to see a bit more challenging assignments though.

This is a very good course. Probably, much time should be given, especially for Week 2 and Assignment of Week 4. Thank you very much for the course!

complex topics are explained in a simple way. coding assignments, quiz helped a lot to learn and apply numerous machine learning concepts perfectly.

very very excellent, got to learn whole lot of machine learning models and approaches. i'm straight away going for kaggle competitions after this.

It gives a great overview of different machine learning methods. I found useful information that can be missing in other ML courses. Great course!

I am a beginner in Machine Learning. I find this course very easy to follow, interesting and informative. Thank you for the efforts you've put in!