Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan
About the Course
Top reviews
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!!
great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
1076 - 1100 of 1,296 Reviews for Applied Machine Learning in Python
By M V B
•It was a great experience learning through Coursera ,who provides best faculty for making students understand easily.
thank you Cousera
By GC
•This course is useful, but the code is not updated, and the assignment and Module codes returned a lot of code deprecation warnings.
By Prathmesh D
•It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you
By PRATIKKUMAR A P
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ience of machine learning using python. Very well explained algorithms and application through modules and assignments.
By MARCO S M H
•excellent course, except for the last week. I think that the last part about decision trees, NN and randomforest could be better
By Dr. P R K
•Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.
By Michael S
•Everybody has different skill levels, but this was really hard and really, really, really fast.
Did I say it was really fast?
By New_diver N
•Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.
By bob n
•Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.
By BHAGYASHREE B
•Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though
By Mohamed S
•A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.
By Amaira Z
•Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning
By Ekun K
•This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
By Wynona R N
•Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
By Amanda V
•You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
By Rohith S
•A few more code examples would have helped better understand various packages provided by Python and how to use them
By lcy9086
•Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
By Alexandr S
•It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
By Bharat G
•Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
By Alpan A
•Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
By am
•Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
By Andres V
•the final assignment was too hard compared to the other assignments and the contens given in the last module
By CMC
•A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
By divya p
•course is very informative with hands on details, assignments and quizzes are very useful for assessment
By Maxim P
•Nice there could just be a bit more of a case study to see the difference and decision ways in practices
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