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 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.
4651 - 4675 of 5,570 Reviews for Supervised Machine Learning: Regression and Classification
By Guilherme P
•Aug 8, 2024
Very good!
By Anik D B
•Aug 6, 2024
very good!
By Michel B
•May 29, 2024
Good work!
By Michał D
•May 15, 2024
Very good!
By DaxoWiz '
•May 9, 2024
Magnifique
By An N K
•Mar 18, 2024
Meaningful
By Parsa N
•Mar 6, 2024
I love it!
By Ahmed A
•Feb 3, 2024
I love it!
By mojtabacode
•Feb 2, 2024
excellent.
By Zakaria F
•Dec 29, 2023
impressive
By Priyanshu P
•Dec 26, 2023
Amazing!!!
By Szu-Yao C
•Dec 19, 2023
Must Have!
By Claudio M A
•Aug 16, 2023
Excellente
By Bernard A
•Jul 31, 2023
The best !
By Abdul K
•Jul 16, 2023
just great
By Pouria S P
•Jul 16, 2023
perfectily
By Austing D
•Apr 23, 2023
Fantastic!
By Tomas B F A
•Apr 6, 2023
Excellent!
By David D Z
•Mar 18, 2023
Phenomenal
By Md. N S
•Mar 18, 2023
Excellent.
By Qaiser A
•Mar 17, 2023
VERY GREAT
By Hamza A
•Mar 2, 2023
Satisfied!
By Xueqi W
•Jan 3, 2023
Thank you!
By lily h
•Jan 2, 2023
excellent.
By yuzhuobai
•Nov 26, 2022
Thank you!