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

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!

Great course. A LOT of information but great job at teaching conepts and how to apply them. It got me really interested in Deep Learning and MLP.

Great course! Really appreciated it, it taught me (and gave me lots of practice) how to use lots of different classifiers for machine learning.

Optional references to the inner workings should be provided. For example how Decision Trees are trained and how the best division is decided.

Excellent course to do an overview of many ML algorithms, and with good assignments that help me to fix all the subjects that I have learned!

From several MOOCs that focus on ML. I love this course to understand the fundamental off ML and I can easily apply this course in my project

Easy for beginner to follow. After finishing the course,I'm able to apply simple machine learning algorithms to area I'm currently working on

This was the best course in the specialization, in my opinion. I think I learned the most and got the most value from the materials in here.