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!!
AD
Nov 23, 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.
5326 - 5350 of 5,570 Reviews for Supervised Machine Learning: Regression and Classification
By Lukman K
•Jan 13, 2023
It gave me the fundamental building blocks of Machine Learning.
By Biswadeep M
•Aug 2, 2024
very good course for developing the basics of machine learning
By Tejas P
•Oct 30, 2023
could include data preprocessing , data cleaning , null values
By Faizan T
•Jun 23, 2022
Vectorized implementation in the assignments would have helped
By Prestigebeetle
•Aug 5, 2023
the course was excellent but it lacked actual implementation.
By Sanjay K
•Jun 23, 2023
This course gives me a lot of idea about ML and other stuffs
By Arwa A
•Mar 30, 2024
great explaining but need to explain coding more than this
By Abhishek_Pandey_IITK
•Aug 30, 2023
A nice and wonderful course.
Bounds you from start till end
By Luca B
•May 14, 2023
Interesting course, not too heavy but direct to the point.
By Shravan D
•Aug 25, 2024
may be a bit more mathematics is required to be explained
By Wassim R
•Apr 18, 2023
I hope to find some obligatory labs (20-30% for example).
By Vishesh D
•Aug 21, 2024
Great experience with my very first course on ML and AI!
By Aryan G
•Sep 4, 2022
the optional lab code should be explained in the videos
By Vishal V
•Jul 1, 2022
More graded lab sessions could be included. Good course.
By Omkar D
•Jul 20, 2024
requires more practice lab, content is great thank you
By Moisés M B R R
•Oct 25, 2022
Great for those looking to get into Machine Learning.
By Mahesh R
•Jan 3, 2025
It was super , but i think i need even more practice
By Mubbara M
•Dec 5, 2024
This course is good for developing your basics in ML.
By Holmes
•Jul 3, 2023
A little bit overwhelming in the last lab. I love it.
By Radhey K
•Jul 23, 2025
Something that is literally essential for a beginner
By Janardhan P
•Mar 9, 2024
Good explanation. ButI expected more deep knowledge.
By Tobias H
•Jan 29, 2023
Very rough overview. But good entrance level lecture
By Francisco A S
•Sep 30, 2022
Lacks coding , but its very nice in terms of theory
By Jeyanth (
•Aug 5, 2022
the coding part could have been explained in detail.
By Aniruddh L
•Jul 12, 2022
Graded Assignments were slightly on the easier side.