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

4.9
stars
29,233 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

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.

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5001 - 5025 of 5,554 Reviews for Supervised Machine Learning: Regression and Classification

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 27, 2022

Good

By Haoyang G

Dec 25, 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

By vinod t

Aug 12, 2022

good

By Sayem B

Jul 26, 2022

good

By Амирбек Н Ғ

Apr 21, 2025

фчы

By Carloka B A S M

Oct 28, 2024

...

By Onalenna E M

Jun 7, 2024

10.

By Daniel D

Apr 16, 2024

amz

By Márcio A C B Z

Mar 18, 2024

Top

By Markelov G M

Nov 22, 2023

Top

By Ahmed A

Jul 18, 2023

wow

By do t v

Mar 1, 2025

ok

By Vikas

Oct 13, 2024

no

By Edeki M E

Sep 29, 2024

ok

By 石天辰

Apr 17, 2024

很好