學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋
課程概述
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OA
2017年9月8日
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
FL
2017年10月13日
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!!
1226 - Applied Machine Learning in Python 的 1250 個評論（共 1,465 個）
創建者 Alexandr S
•2019年2月24日
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
創建者 Bharat G
•2017年8月30日
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
創建者 Alpan A
•2019年11月27日
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
創建者 Amine T
•2017年6月21日
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
創建者 Andres V
•2020年10月16日
the final assignment was too hard compared to the other assignments and the contens given in the last module
創建者 CMC
•2019年2月9日
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
創建者 divya p
•2020年9月4日
course is very informative with hands on details, assignments and quizzes are very useful for assessment
創建者 Maxim P
•2018年9月15日
Nice there could just be a bit more of a case study to see the difference and decision ways in practices
創建者 Jesús P
•2018年1月5日
great course but could be improved with a better explaining of the class on board for abstract concepts.
創建者 shashank m
•2019年7月16日
Very intuitive course...and carefully designed so that it does not overwhelm the students with details
創建者 ZHAI L
•2018年5月11日
Compared to previous two courses in this specialization, this course need more time for self-learning.
創建者 Justin M
•2018年4月11日
Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.
創建者 Manjeet K
•2019年9月14日
Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.
創建者 Ulka K
•2020年2月27日
I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.
創建者 Vishwa M
•2021年9月3日
Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.
創建者 Stephen R
•2018年5月8日
Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking
創建者 J N
•2021年5月23日
Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera
創建者 Pierre D
•2021年5月1日
Interesting course. Last exercise allows understanding how to use ML, when you are all alone.
創建者 Michel H
•2020年1月23日
helpfull, but so many information in little time. Difficult to get clarified the ideas behind
創建者 Samantha
•2020年4月5日
Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!
創建者 Koffi K
•2019年10月14日
A part from some small issues when doing the last assignment(4), Everything was all right.
創建者 Nicholas P
•2020年12月29日
Good content and teacher but needs more interactivity before the final project every week
創建者 WhiteCR
•2020年2月15日
Good course for practicing machine learning algorithms with Python Sci-kit Learn package.
創建者 Massimo T
•2019年11月12日
The python packages used in the course are becoming outdated
adding useless difficulties.
創建者 soymilk
•2020年10月3日
Contents of lecture are good but the assignments got many problems that should be fixed
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