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

4.9
stars
29,447 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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4776 - 4800 of 5,588 Reviews for Supervised Machine Learning: Regression and Classification

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 Sadiq A B

Jul 8, 2025

love it.

By Ron Y

Jun 18, 2025

woohoooo

By Vaibhav U

May 25, 2025

The best

By AMINE A

Apr 7, 2025

just top

By OliviaChen

Apr 1, 2025

inspring

By Ankit K

Mar 12, 2025

its good

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 鍾易達

Dec 20, 2023

the best

By Abd a A N

Nov 8, 2023

not easy