学生对 University of Michigan 提供的 Applied Machine Learning in Python 的评价和反馈
课程概述
热门审阅
PS
Apr 2, 2018
Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!
JL
Aug 19, 2018
Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.
1301 - Applied Machine Learning in Python 的 1325 个评论(共 1,599 个)
创建者 Rakshit T
•Jul 10, 2018
A good course for beginners in Machine Learning. You get to the learn the basics of many techniques and their implementation in python.
创建者 yannick t
•Apr 12, 2018
Excellent lectures. However, I would have needed more guidance for the last assignment. I learned a lot, but through pain and struggle.
创建者 M V B
•Oct 9, 2020
It was a great experience learning through Coursera ,who provides best faculty for making students understand easily.
thank you Cousera
创建者 Guojun C
•Mar 31, 2021
This course is useful, but the code is not updated, and the assignment and Module codes returned a lot of code deprecation warnings.
创建者 Prathmesh D
•Jul 15, 2020
It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you
创建者 PRATIKKUMAR A P
•Aug 22, 2020
R
e
a
l
y
n
i
e
e
x
p
r
ience of machine learning using python. Very well explained algorithms and application through modules and assignments.
创建者 Muhammad I
•Aug 27, 2021
Best Course if you are searching for the applied side of Machine learning and Assignment are very helpfull to make mucssle memory
创建者 MARCO S M H
•Feb 7, 2021
excellent course, except for the last week. I think that the last part about decision trees, NN and randomforest could be better
创建者 Dr. P R K
•Jan 22, 2018
Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.
创建者 Michael S
•Jun 29, 2019
Everybody has different skill levels, but this was really hard and really, really, really fast.
Did I say it was really fast?
创建者 New_diver N
•May 22, 2019
Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.
创建者 bob n
•Aug 31, 2020
Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.
创建者 BHAGYASHREE B
•May 9, 2020
Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though
创建者 Mohamed S
•Mar 26, 2020
A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.
创建者 DIPTI M 2
•Dec 12, 2022
Overall it was a great experience.
I think the instructor should've adapted a better technique to teach more proficiently
创建者 Amaira Z
•Jan 12, 2021
Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning
创建者 Ekun K
•Jul 15, 2020
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
创建者 Wynona R N
•Jun 23, 2020
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
创建者 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.
创建者 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
创建者 Chenyu L
•Feb 2, 2019
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
创建者 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!
创建者 Bharat G
•Aug 30, 2017
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
创建者 Alpan A
•Nov 26, 2019
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
创建者 Am T (
•Jun 21, 2017
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments