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
MA
Jan 27, 2025
I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.
AA
Apr 29, 2023
Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.
1751 - Supervised Machine Learning: Regression and Classification 的 1775 个评论(共 6,053 个)
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.
创建者 Bizhan H
•Mar 17, 2025
It was a really good starting point for me. I definitely suggest that you take this course if your are a beginner
创建者 Kpl A
•Sep 20, 2024
Very much understandable and best course on ML to learn, Thankyou Deeplearning.ai , Stanford Online and Andrew NG
创建者 Mehmet E G
•Jun 15, 2024
Bu kurs, makine öğrenimi konusuna Sağlam bir temel atmamı sağladı. Andrew Ng öğretmenimize çok teşekkür ediyorum.
创建者 Hossein N
•Mar 19, 2024
I wholeheartedly appreciate Mr. Andrew Ng for his brilliant and fluent teaching skill. This course was fantastic.
创建者 Vagheesh M K
•Dec 30, 2023
The course instructor is the Master of AI Andrew Ng. What more can I say. Perfect Course in all sense of the term
创建者 陈瑞麟
•Aug 6, 2023
我认为吴老师的授课十分有趣,而且学习的章节内容安排十分具备逻辑性,让我乐在其中。但是我认为对于我这样的代码新手,在实验室部分应该先进行需要学习的代码的认识再进行编写,不要直接给出现成代码,这样能促进学习的效率和引起更高的兴趣。
创建者 Karthik B
•Jul 27, 2023
I am grateful to Coursera, Andrew Ng and all the people involved in making this wonderful course available to me.
创建者 Kalgee J
•Jul 14, 2023
The course is well-taught, theoretical as well as practical concepts would be far more clear after completing it.
创建者 Javier S H
•Jun 18, 2023
Thanks and congratulations for this course. Really nice introduction to regression and classification algorithms!
创建者 Mihir U
•May 9, 2023
Explained the underlying working of ML algorithms and teaches the abstractions that are used in the real world...
创建者 Anand J
•Feb 24, 2023
This is the best course to learn the first two algorithms of machine learning. Highly reccomended for beginners.
创建者 Jelena P
•Jan 15, 2023
Great course! I learnt a lot and I would recommend this course to anyone starting out a Machine Learning journey.
创建者 antonin p
•Dec 22, 2022
Maybe students could have more to do : the examples are already fully completed and most of the lab are optional.
创建者 Ali R
•Nov 29, 2022
This course is one of the best Ml courses in the world. I enjoyed the lessons and also like the teacher very much
创建者 Shubham P
•Oct 20, 2022
NICE AND EXCILLENT , HELPED ME LOT TO LEARN THE BASICS OF MACHINE LEARNING AND IMPLIMENTING THE REGRESION MODELS
创建者 Balaji
•Sep 8, 2022
My personal favorite is the interactive notebooks which helped me finally grasp on the concept of regularization
创建者 Reza
•Aug 16, 2022
I like the full and easy way of teaching that Andrew Ng has. Nothing to say but I've ejoyed attending the class.
创建者 Wisal M
•Aug 7, 2022
Well designed and excellently organized contents!
Math part was exquisite, I understood it although I didn't xd.
创建者 Brigitte D
•Jul 19, 2022
It's a good starting point for a Machine Learning journey and I help you to start refreshing your Python skills.
创建者 زین
•Dec 4, 2025
Well-Structured, user-friendly Course, the best to start and to put your steps in this field! Highly RECOMMENDED
创建者 Roberto E J S
•Aug 19, 2025
Un curso que explica todo a detalle, además se complementa con el laboratorio que es donde se trabaja el código.
创建者 Gustavo S
•Dec 7, 2024
I really enjoyed this course, it is a great option to build a strong foundation in Regression and Classification
创建者 Felipe M L
•Jul 7, 2024
Its the best course I've done online. I feel it's very easy to follow, even if you havent studies a STEM career.