Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI
About the Course
libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including
linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration
between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how
to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who h...
Top reviews
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Nov 24, 2022
Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.
ED
Apr 14, 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!!
1676 - 1700 of 5,429 Reviews for Supervised Machine Learning: Regression and Classification
By Ashutosh S
•Nov 9, 2022
I liked the lab part the most. I was able to understand how to implement models using python and its libraries
By Vu T
•Jul 6, 2022
This course explained so many concepts I found difficult before starting it. 5/5. Thank you very much Coursera!
By Ashutosh .
•Jun 8, 2025
I like it very much so far because it provides me with a solid understanding of regression and classification.
By Lars F
•Jan 7, 2024
Great course, fantastic explanation to understand the algorithms and math behind regression and classification
By SUHAS Y ( G
•Sep 15, 2023
IT WAS A AN INFORMATIVE COURSE UNDERSTANDING THE UNDERLYING THEORETICAL CONCEPTS OF ML WITH PRACTICAL SESSION.
By PCloud
•Jul 21, 2023
It will be better if the practical labs are more challenging, or make the optional labs as hands on exercises.
By Umjetna I
•Jun 28, 2023
It was much easier to understand than I thought it would be. I am a total beginner, yet I learned a lot there.
By Xiangnan Z
•Jun 19, 2023
Andrew's explanation is very intuitive. It is easy to follow and understand the underlying idea of each topic.
By Abhijeet G
•May 30, 2023
Very much helpful for beginners. Concepts are explained in a very detailed way. Also, all labs are beneficial.
By Liam W
•Oct 11, 2022
Very helpful for someone wanting to understand the basics of machine learning without going too much in depth
By Nirmala R
•Aug 17, 2022
Crisp videos and very nice illustrations! Implementing gradient descent really helps understand the algorithm.
By Sukrat S K
•May 11, 2025
Very great course, explained each topic in a simplifies manner along with code implementations. Helped a lot!
By Tamara C
•Nov 9, 2024
Las explicaciones del temario son sublimes, muy cercanas y visuales. La aplicación en Python, muy didáctica.
By Rola I
•Sep 20, 2024
الدورة رائعة جدا و مفيدة ، لقد قمت بتعلم الكثير من الأشياء الجديدة و المفيدة في انشاء مشاريع ML ، شكرا رولا
By Darmen M
•Jul 25, 2024
Very beginner friendly course. Experienced learners may view at 1.25-1.5x video speed. Overall, great course!
By Yu Y
•Feb 10, 2024
A clear a thorough introduction to ML. Accessible to anyone with basics of mathmatics and programming or not!
By Leonid H
•Dec 27, 2023
Excellent course for beginners, but you must have knowledge of engineering mathematics to facilitate learning
By Lucas D
•Oct 14, 2023
Going from very simple ideas to advanced math concepts smoothly, I really enjoyed Andrew' pedagogical skills!
By Nina G
•Sep 1, 2023
Very beginner friendly but with enough detail to keep those with more math and programming experience engaged
By Mashrur K
•Jul 14, 2023
I rated this course a five, but only as a excellent pre-requisites (area) to other, even more advanced topics
By Nayan D
•Mar 20, 2023
Really great course for diving into the world of Machine Learning. Excellent explanations. Great online labs.
By Aashit A
•Dec 22, 2022
Andrew NG explained the machine learning concepts in very simple way, and further looking for the next course
By Hichem M
•Oct 16, 2022
Excellent course that combines theoritical and practical aspects for regression and classification problems.
By Vasyl S
•Oct 12, 2022
Great. Professional. Comprehensive. Inspiring.
I am also grateful for financial aid to complete this course.
By Aldo G
•Jul 31, 2022
It is better than the previous version in octalab, keeping clear explanation and more interactive with Adrew.