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

4.9
stars
26,746 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

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.

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4576 - 4600 of 5,178 Reviews for Supervised Machine Learning: Regression and Classification

By Laura H

Jan 16, 2024

Nice!

By Anand K

Dec 24, 2023

gajab

By Michael C

Dec 19, 2023

Great

By LeHuyPhuong

Nov 17, 2023

Coool

By Quoc V N

Oct 27, 2023

oke \

By Joel E

Oct 16, 2023

bueno

By Muhammad R P S

Oct 16, 2023

great

By Alessandro G

Oct 5, 2023

magic

By Nguyễn N Q G

Sep 20, 2023

good.

By cyberphoenix Y

Jul 28, 2023

great

By Chidiebere S M

Jul 22, 2023

great

By 슈쿠룰로/학생/융합시스템공학

Jul 14, 2023

great

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Jul 13, 2023

great

By Seyyed M M

Jun 3, 2023

Good!

By Taona M

Apr 1, 2023

Great

By richard b

Mar 8, 2023

great

By Hezbon K (

Dec 1, 2022

great

By Edepalli S R K

Nov 19, 2022

goood

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Nov 17, 2022

great

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Oct 22, 2022

good

By Junping W

Oct 8, 2022

good

By Garima S

Oct 7, 2022

NICE

By Niraj K

Oct 2, 2022

good

By West X

Sep 28, 2022

Good

By yazidshuqair

Sep 21, 2022

great