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

Very good curriculum with a hands on project. However thera are some limitations with the platform with grading

Complete course on supervised learning

Would be nice to cover PCA and unsupervised learning in the assignments

the final assignment was too hard compared to the other assignments and the contens given in the last module

A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.

course is very informative with hands on details, assignments and quizzes are very useful for assessment

Nice there could just be a bit more of a case study to see the difference and decision ways in practices

great course but could be improved with a better explaining of the class on board for abstract concepts.

Very intuitive course...and carefully designed so that it does not overwhelm the students with details

Compared to previous two courses in this specialization, this course need more time for self-learning.

Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.

Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.

I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.

Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.

Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking

Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera

Interesting course. Last exercise allows understanding how to use ML, when you are all alone.

helpfull, but so many information in little time. Difficult to get clarified the ideas behind

Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!

A part from some small issues when doing the last assignment(4), Everything was all right.

Good content and teacher but needs more interactivity before the final project every week

Good course for practicing machine learning algorithms with Python Sci-kit Learn package.

The python packages used in the course are becoming outdated

adding useless difficulties.

Contents of lecture are good but the assignments got many problems that should be fixed

It's really a great course for the beginner to begin with the machine learning basics.

too much content for 4 weeks course as compared to other courses in the specialization