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 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!!
FA
May 25, 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.
4801 - 4825 of 5,592 Reviews for Supervised Machine Learning: Regression and Classification
By Karus H
•Mar 16, 2024
Amazing!
By Imrane G
•Feb 3, 2024
the best
By 鍾易達
•Dec 21, 2023
the best
By Abd a A N
•Nov 8, 2023
not easy
By 李嘉洋
•Sep 16, 2023
非常好，浅显易懂
By f_mirzaiy
•Jul 11, 2023
fabulous
By Ajaykumar J
•Jun 29, 2023
all good
By Anmol P
•Jun 28, 2023
Awesome!
By Muh. I A
•Jun 9, 2023
Amazing!
By Aladum K
•May 10, 2023
splendid
By Alireza T
•Apr 19, 2023
Awesome!
By 廖润龙
•Mar 28, 2023
易懂且讲的很深刻
By JuHo S
•Mar 26, 2023
goood!!!
By Hiếu N
•Feb 14, 2023
worth it
By Oluwasegun E
•Dec 22, 2022
Splendid
By Bill D
•Dec 2, 2022
Amazing!
By Ritwik B
•Nov 16, 2022
Awesome.
By Ebenezer A
•Nov 15, 2022
Perfect!
By Roya A
•Nov 8, 2022
perfect!
By Amir H
•Oct 27, 2022
Amazing
By Josh P
•Oct 1, 2022
Amazing!
By Bardiya R
•Sep 21, 2022
concise
By 杨东海
•Sep 18, 2022
Perfect
By Andrew K
•Aug 6, 2022
So good!
By Anh T N
•Jul 14, 2022
fantasic