Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan
About the Course
Top reviews
FL
Oct 13, 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
OA
Sep 8, 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
1251 - 1275 of 1,510 Reviews for Applied Machine Learning in Python
By Ekun K
•Jul 16, 2020
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
By Wynona R N
•Jun 23, 2020
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
By Amanda V
•Jun 2, 2018
You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
By Rohith S
•Nov 16, 2017
A few more code examples would have helped better understand various packages provided by Python and how to use them
By lcy9086
•Feb 2, 2019
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
By Alexandr S
•Feb 24, 2019
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
By Bharat G
•Aug 30, 2017
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
By Alpan A
•Nov 27, 2019
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
By Amine T
•Jun 21, 2017
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
By Andres V
•Oct 16, 2020
the final assignment was too hard compared to the other assignments and the contens given in the last module
By CMC
•Feb 9, 2019
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
By divya p
•Sep 4, 2020
course is very informative with hands on details, assignments and quizzes are very useful for assessment
By Maxim P
•Sep 15, 2018
Nice there could just be a bit more of a case study to see the difference and decision ways in practices
By Jesús P
•Jan 5, 2018
great course but could be improved with a better explaining of the class on board for abstract concepts.
By shashank m
•Jul 16, 2019
Very intuitive course...and carefully designed so that it does not overwhelm the students with details
By ZHAI L
•May 11, 2018
Compared to previous two courses in this specialization, this course need more time for self-learning.
By Justin M
•Apr 11, 2018
Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.
By Manjeet K
•Sep 14, 2019
Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.
By Ulka K
•Feb 27, 2020
I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.
By Vishwa M
•Sep 3, 2021
Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.
By Stephen R
•May 8, 2018
Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking
By J N
•May 23, 2021
Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera
By Pierre D
•May 1, 2021
Interesting course. Last exercise allows understanding how to use ML, when you are all alone.
By Michel H
•Jan 23, 2020
helpfull, but so many information in little time. Difficult to get clarified the ideas behind
By Samantha
•Apr 5, 2020
Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!
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