學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

the content of videos , quiz and exercise all work extremely well together towards the stated goal of the course i.e. to give the learner a good over view of how to apply ML theories into action

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

Great content and good instruction. Need to fix the files in the assignments though. It's hard to keep track in the forums and frustrating go back and forth to find out why it's not working.

It feels good to learn something new and highly skilled demand in Engineering. Thanks to Coursera and instructor for providing such a wonderful opportunity of learning through your platform.

Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.

It was good learning Machine Learning thru Python as using Python libraries like Pandas , Tensorflow,.etc made the work easier. Hope to do my masters in Machine Learning . Happy Learning <3

Excellent course for someone who already has some knowledge of python but not quite familiar with machine learning. This course will teach you the application of machine learning in python.

In depth course that covers a lot in a short amount of time. If you take some extra time to delve deeper into these topics, you can ensure a great overview of machine learning with python.

Quite detailed; good instructional material about most ML models and evaluation metrics of models, cross validations, grid searches, precision and recall curves etc. Excellent assignments

EXTREMELY USEFUL AND GOOD COURSE, CONGRATULATIONS TO ALL THE PEOPLE INVOLVE.

Honestly, I never thought I could learn so much in an online course, excited for the rest of the specialization

Very well structured and informative course ! All the lectures are concise and give enough context for self-exploration. The assignments provide are a good hands-on experience as well !!

Excellent lectures, good exercises to reinforce the material, and absolutely loved the explanations of the sophisticated mathematical models that made them more lucid and easy to digest.

Great for high level concepts and practical applications of machine learning. After taking this course I feel more confident in my ability to work on real world machine learning tasks.

A lot of techniques packed into a relatively short course. Weeks 2 & 4 are noticably tougher than the other two, so allow plenty of extra time for assignment and quiz in those 2 weeks.

it is a great course that covers the most important basics of the "traditional" machine learning and helps me build a solid foundation for more advanced machine learning topics later.

I am just about to begins my Module 2 but I have realized that how much easy to understand and to the point course is. I would love complete it and be the proud scientist. Thanks.

The most practical course I have completed so far. Also the right amount of theory needed to being able to start resolving your first machine learning problems. 100% recommendable

Thanks very much for everything that I learnt! As a PM I never thought that I can be able to go this far at the beginning. However, every minutes I spent on this course worth it!

This is the best ever course I have taken in Coursera. Learnt very useful ML concepts that are no where available in the internet. Highly recommend this course to ML enthusiasts.

Awesome course!

Stick till the end of it, and you'll never regret it.

You're gonna have a lot of fun especially in the last week, don't skip the optional readings of this week ;)

Really good course, although it is more focused on the practical aspect I really learn much more about different machine learning techniques for improving and applying a model.

It is a great course. The lectures is interesting and full of knowledge. Though the assignments are challenging, especially the last one, I really learn a lot from this course.

multi selection questions in quizzes are a bit hard to handle, i think there should be more hands-on experience included. Loved notebooks when one answer lead to the next one.

The content is so crisp and articulated well. The assignments and quiz need fair amount of work to complete. My fav part of this course is week 4 and tutor nailed it so well.

Excellent introduction to Machine Learning! The course focus is on supervised ML. Well taught ! Course is well structured with lots of tips & tricks for model evaluation.