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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
26,705 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning
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

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.

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.

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4651 - 4675 of 5,172 Reviews for Supervised Machine Learning: Regression and Classification

By Ali G

Jul 11, 2023

nice

By Hồ N T

Jul 5, 2023

Very

By 조현묵

Jun 4, 2023

good

By Ario P

May 29, 2023

Good

By Sanjay r

May 20, 2023

good

By Data I M

May 15, 2023

good

By TA V B

Apr 29, 2023

Good

By Phước N N

Apr 25, 2023

well

By Mohammed S

Apr 9, 2023

best

By Fitrah S

Mar 21, 2023

cool

By Isa M I

Mar 10, 2023

good

By Priyanshu B

Jan 2, 2023

best

By 임재현

Dec 26, 2022

Good

By Haoyang G

Dec 24, 2022

绝对的好

By Priyanshu S

Dec 19, 2022

nice

By Mehar H

Nov 15, 2022

good

By Yu-Cheng C

Nov 5, 2022

Nice

By Phillip L

Sep 1, 2022

good

By DEVESH K B

Aug 27, 2022

good

By Mohamed E

Aug 21, 2022

good

By ZhenyuChen

Aug 17, 2022

good

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Aug 12, 2022

good

By Sayem B

Jul 26, 2022

good

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Oct 28, 2024

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By Onalenna E M

Jun 7, 2024

10.