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
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.
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.
4451 - 4475 of 5,187 Reviews for Supervised Machine Learning: Regression and Classification
By Koschei
•Oct 2, 2022
Very Good
By Oluwabori I
•Aug 28, 2022
Intriging
By Sulaman N
•Aug 21, 2022
excellent
By 王春鹏
•Aug 15, 2022
Fabulous!
By Neel P
•Jul 25, 2022
Excellent
By Yona H
•Jul 12, 2022
Excellent
By Suhas Y P
•Feb 10, 2025
Good One
By Amjad A G
•Dec 29, 2024
شكرا لكم
By Pawan G
•Dec 8, 2024
Great!!!
By Piyush
•Dec 8, 2024
ml ka 14
By ANIKET B
•Nov 29, 2024
Great !!
By arham j
•Nov 17, 2024
its good
By Nicholas W
•Oct 23, 2024
Amazing.
By Prachet P
•Sep 21, 2024
Worthy!!
By 屈杰敏
•Aug 30, 2024
helpful!
By Yazan H
•Aug 1, 2024
Amazing!
By K D
•Apr 26, 2024
The Best
By Karus H
•Mar 15, 2024
Amazing!
By Imrane G
•Feb 3, 2024
the best
By Chung I
•Dec 20, 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!