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

It was a great course. This course covered a lot of material and Professor explained every concepts very clearly.

A very nice course to get involved with the data from good resources and with great insights to draw from those.

I like this course very much. It focuses on ML application and it's easy to understand. Definitely recommend it!

Great course! Assignment 4 is very interesting and allows you to apply all you've learnt in this course at once.

Incredibly insightful and helpful for a recent master's graduate looking to augment his skills on the job market

Great course, very hands-on. Maybe difficult to follow without any prior knowledge in machine learning, though.

I​t's a really good course. I teaches you the basics of many ML algorithms. I really recommend it for begginers

Very good introduction, a lot of information but you feel you are learning the foundations of machine learning.

Excellent course. I'm particularly thankful to the instructor, who was warm-hearted and explained well enough.

A​mazing ocurse focussing on handon application of machine learning alorithms and tools for model evaluation.

This course provides a good introduction to using python in machine learning. It helps me to get hands on it.

Thank you for the very well done course! It's really helpful, has a clear explanation of topics and examples.

Excellent Course each topic is both theoretically as well as as practically explained. Really a good course

Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module

Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.

The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.

Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.

A very good review of important fundamental concepts in Machine Learning focusing on the usage of Sklearn.

This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.

Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.

The course gives deep knowledge on the subject as well as best practices and strong practice assignments.

the most interesting thing in the course was treating the students as if they are already data scientists

This Course really provides great learning on Advance Machine learning techniques with Python application

Learned a lot in this course! Much better than the previous two and also taught by a different professor.

Taking these lessons from some of the world's most prestigious universities and professors is priceless.