学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈
课程概述
热门审阅
FA
May 24, 2023
The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.
ED
Apr 13, 2025
Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!
1701 - Supervised Machine Learning: Regression and Classification 的 1725 个评论(共 5,926 个)
创建者 Paul H
•Apr 1, 2023
Great course. Andrew Ng really makes the learning curve easier for such a subject as this. Looking forward to more.
创建者 Yash I
•Dec 18, 2022
The course was excellent and enjoyed it.....Thanks so much....(plz add support vector machines(SVMs) to the course)
创建者 Boris S
•Oct 11, 2022
I like this cource. I think it is done exactly right for someone who is familiar with basic math and basic python.
创建者 Ying W
•Sep 2, 2022
Thanks a million for Andrew and the team for this amazing module! Cannot wait to finish the whole specialization!!!
创建者 Jeff H C
•Aug 14, 2022
I loved the course. It was very challenging, but well worth my time. It was a pleasure learning from Professor Ng.
创建者 Mr. C
•Aug 12, 2022
Absolutely impressive lectures and supporting materials.
Two thumbs up to the main instructor and the co-workers !!!
创建者 Laís L
•Jun 30, 2022
Lectures and exercises are very well explained and easy to follow. Thank you Andrew Ng for this excellente course.
创建者 Lars K
•Sep 22, 2025
This course offered exceptional content and a fantastic teacher. It was a well-spent time in every way. Thank you!
创建者 Fai N m A
•Nov 12, 2024
دورة رائعه ومليئة بالمعلومات المفيده اتمنى طرح الكثير من هذه الدورات عن بعد لاتاحة الفرص للجميع بالتعلم والأستفاده
创建者 Kimia N
•Sep 30, 2024
very well structured and clearly explained every concept. maybe add some harder questions to the practice quizzes.
创建者 Hir R B
•Aug 6, 2024
I love how the algorithms are explained more in an intuitive way. The material and optional labs are very helpful.
创建者 Afrina A
•Jul 3, 2024
Such an wonderful course, what helped me most was gaining insights into how those algorithms worked. Truly helpful
创建者 Shaikh A
•Jun 22, 2024
lovely course designed by Deeplearning.ai and stanford university , andrew ng is best tutor in this world for ml .
创建者 Roya P
•Mar 4, 2024
With this course, I relearned all my ML knowledge much much intuitively. The intuition was a breakthrough for me.
创建者 Narayana R B
•Sep 9, 2023
One of the first courses enrolled to in coursera. Awesome experience at Coursera. Thank You Coursera and Andrew Ng
创建者 Tùng N T
•Aug 11, 2023
-Simple explains for people who are beginners in Machine Learning.
-Have a lot of examples and codes for practicing
创建者 Kashyap I
•Mar 6, 2023
Loved it, one feedback I have is scit learn might have been additionally graded, as that is used in industry a lot
创建者 Jason
•Mar 6, 2023
Very well taught. Andrew Ng is articulate and able to break complicated concepts down to easily digestible blocks.
创建者 subarto k g
•Feb 23, 2023
I am very much glad to gain knowledge on machine learning. Thanks for giving your support to complete this course.
创建者 Mohammadreza K
•Feb 16, 2023
Excellent Job on the lectures and labs and the way the whole problem is broken down into little steps.
It was great
创建者 Miguel G
•Jan 24, 2023
Very instructive and practical. It's great to have this course updated with python instead of the old MATLAB code.
创建者 Beshli-ogly A T
•Nov 16, 2022
I can not send last tasks,a solved all problem correctly,but the output the same ,can you help or fix this problem
创建者 Mehrdad E
•Oct 7, 2022
This course was very useful. My suggestion is to use a more energetic teacher and improve the assignment section.
创建者 Reza R
•Aug 31, 2022
I really like Andrew Ng. I learned many great things from him and I find this course very helpful and interesting.
创建者 Raghavendra l
•Jul 21, 2022
precise and clear, all the details were very well explained by Andrew. Thanks for providing such wonderful course.