Sep 09, 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
Oct 14, 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!!
创建者 Christian P•
Aug 05, 2019
Code and examples were very useful. Teaching a bit lengthy and detailed at times. Overall a very good course for getting hands-on machine learning in python.
创建者 Weiqi Y•
Oct 25, 2017
It's alright as a course focusing on applied techniques. If you are expecting more theories and understanding of the algorithms, this one may not for you
创建者 Helen L•
Jun 15, 2020
Submission isnt easy often gave errors that are not due to students' faults. Time-consuming unnecessarily. The content and assignments are great.
创建者 Utkarsh S•
Jun 22, 2020
Very informative course, the only issue I had was with the file locations in the assignments. Takes up a lot of time switching back and forth.
创建者 Mariano T•
May 19, 2020
There are some problems with the assignments but the course is very good. You must improve the material for the assiggnment. I love the forum
创建者 Srinivas K R•
Sep 22, 2017
Good overview of machine learning topics with practical exercises in the use of multiple techniques primarily through use of scikit-learn.
创建者 David W•
Jul 03, 2017
Hands on and practical. Dr. CT and his staff have done a great job introducing Machine Learning. Where were you 20 years ago? Thank you!
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 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 Dr. P R K•
Jan 23, 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?
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 Bhagyashree B•
May 09, 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 Ekun K•
Jul 16, 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 C•
Jun 02, 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 17, 2017
A few more code examples would have helped better understand various packages provided by Python and how to use them
Feb 03, 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 27, 2019
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
Jun 21, 2017
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
Feb 09, 2019
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.