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.
1701 - Supervised Machine Learning: Regression and Classification 的 1725 个评论(共 6,083 个)
创建者 Md. A S
•Dec 13, 2023
Excellent foundation course to understand the core basics and equations behind Supervised machine learning algorithms
创建者 Raghavendra S
•Nov 30, 2023
The course is explained very well. The lab assessments are organized in right way to broyp the knowledge of the topic
创建者 Jimmy R
•Nov 8, 2023
Super clear and informative! Would absolutely suggest to anyone wanting to a decent understanding of the fundamentals
创建者 Anna M B
•Oct 7, 2023
Super! Andrew Ng consistently delivers the best and most inspiring courses on complex subjects like Machine Learning.
创建者 Mohamed E F
•Jul 19, 2023
Good course It helped me to deepen my understanding of the implementation of both regression and logistic regression.
创建者 Sambit S
•Jul 10, 2023
It's been an incredible learning journey, and I highly recommend this well-crafted course for beginners in the field.
创建者 Abhin B
•May 2, 2023
It was a really good course And i feel blessed to have been offered a course like one considering my financial status
创建者 Aly A
•Mar 30, 2023
Well organised course and excellent instructor .here i understood alot of concepts was difficult for me to understand
创建者 AhmsOK H
•Dec 28, 2022
Andrew Ng is an incredible teacher, making the subject matter and mechanics of this topic, easy to digest and follow.
创建者 J K
•Oct 20, 2022
Informative and the interactive labs were great at practicing the material and seeing how it all works for yourself.
创建者 Ali S
•Jul 16, 2022
Complete materials/explanations on machine learning fundamentals.
An enjoyable course to participate.
Thanks Dr. Ng
创建者 Dean C
•Jun 9, 2025
Very beginner friendly. I breezed through it, without any formal qualifications in mathematics. Very well explained.
创建者 Patrick W O B
•May 11, 2025
Very engaging and exemplary that I have learned things that I have not been able to even absorb when I'm in college.
创建者 Karthi M
•Feb 16, 2025
Excellent course for beginners, an unique point is duration of videos are cleverly designed to make it more engaging
创建者 Muhaned M
•Feb 4, 2025
the cousre is very good but as a coder and ML ENG we needed scikit learn code to be learned and explained , thanks !
创建者 Abdullah N
•Sep 20, 2024
well organized material with great quality, loved the step by step approach combined with quizzes and code examples.
创建者 He H
•Aug 13, 2024
Good for a starter, I learned the ML concepts before and it also gives me a better understanding of the ML structure
创建者 Adnan R
•Jun 27, 2024
Very well structured course. Content was exceptional and the way coursera interface drive the course is exceptional.
创建者 Vansh C
•Apr 21, 2024
I have never seen such amount of attention to detail in any course. This course enables me to make quality projects.
创建者 Gregory G
•Feb 8, 2024
Excellent explanation and pace. I liked the optional labs and deeper explanations of the math behind the algorithms
创建者 Chirayu R
•Jan 22, 2024
The course was good. But the thing that really made me confuse is the unnecessary code in the last weeks assignment.
创建者 Omar E
•Aug 30, 2023
Great for entry level with focus on understanding of concepts and getting the big picture behind the science itself.
创建者 Yamoo T
•Nov 27, 2022
This course is great and it a definitely suitable course that is prepared for beginners. Everyone should learn it!!!
创建者 Barath U
•Sep 25, 2022
It is a wonderful journew with Supervised Machine learning, I am so greatful to take this ML Specialization course.
创建者 Pooria r
•Sep 10, 2022
With all my heart and honestly, I can say that it was the best course I saw thanks a lot I appreciate it very much