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
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!!
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.
1976 - 2000 of 5,347 Reviews for Supervised Machine Learning: Regression and Classification
By M.Huzaifa M
•Aug 30, 2023
Very Very good course massive knowledge about linear regression such a informative course.
By MS. J K
•Aug 4, 2023
Thank you for offering this course for me and i learned a lot, one of the best courses ever
By M S
•Jul 25, 2023
Masha' Allah an excellent course and with it is from a basic to professional type of course
By Adebayo E
•Jun 28, 2023
This is my starting point and I'm very grateful for the opportunity to learn form the best.
By Shahbaz K
•Mar 4, 2023
This was so good for freshman and you will be able to understand basic things of this field
By Ricardo R
•Dec 26, 2022
The professor is extremely clear in his explanations and the labs are appropiattely complex
By Michail V
•Dec 11, 2022
To the point, greatly taught Machine Learning course, for both beginners and intermediates.
By YASWANTH S R Y
•Nov 2, 2022
It was great experience and have got a good understanding of the machine learning concepts.
By Reza A
•Sep 26, 2022
This course is great! I learnt a lot from it. Thank you very much for your great work. :-)
By Sreyas R
•Sep 25, 2022
A great learning experience with Mr. Andrew Ng. Really enjoyed Machine Learning Algorithms
By Abdullah P
•Aug 21, 2022
This was a good review and a good teacher for small details I didn't know/I forgot for me.
By Jair C
•Jul 15, 2022
Excellent course with mathematical foundations and practical exercises. Highly recommended.
By Tapan K P .
•Feb 27, 2025
Exceptionally well taught and covers all the fundamentals. Best place for someone to begin
By SRUCHEN K K
•Oct 22, 2024
The Course is so awesome that it helps in enhancing our knowledge in Machine Learning alot
By Mateusz F
•Aug 28, 2024
Great course. Andrew Ng is the GOAT and makes the theoretical concepts very understandable
By Tushar P
•Jun 14, 2024
Excellent course to get started with with your ML journey and get your fundamentals right.
By Bhaskar M
•Apr 14, 2024
It helped me sooo much with the Actual mathematics and Engineering behind Machine Learning
By John M M Z
•Aug 24, 2023
An excellent course to start in the world of ML, especially since it is focused on theory.
By Ramana R
•May 8, 2023
Well-designed course to understand fundamental concepts of linear and logistic regression.
By Tharindu D K
•Mar 7, 2023
superb course. I got a good understanding and a big entry to learn machine learning and AI
By Faisal A S
•Jan 7, 2023
Great explanations and interesting labs. Hope to see some more advanced courses from here.
By Ahmed A
•Dec 31, 2022
Every Part of this course lecture is too much understandable if you know 12th grade maths.
By Tudor J
•Oct 27, 2022
A really great course that thaught me the magic behind machine learning. Worth the price!
By Jacob S
•Sep 19, 2022
Amazing course, enough detail to understand what is going on but keeps the course moving.
By Mohsen A
•Sep 13, 2022
Great detail explanation beside wonderful lab notes really help to underestand the course