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

4.9
stars
32,052 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 has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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3251 - 3275 of 6,050 Reviews for Supervised Machine Learning: Regression and Classification

By Yuhong H

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Sep 18, 2023

Great lectures and lab, Andrew is a great lecturer

By Anatoliy B

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Sep 15, 2023

Very well prepared course. Thanks Andrew and team.

By ghassen f

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Sep 11, 2023

well explained for any level of math/coding skills

By Pollab K R

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Aug 31, 2023

nice course. I have learned lots from this course.

By Daniel L

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Mar 21, 2023

perfect for getting something extra under you belt

By javier b

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Mar 18, 2023

Great course to iniciate in this amazing ML world!

By Hariom C

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Mar 15, 2023

A helpful course to begin with machine learning...

By Danish M

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Mar 2, 2023

very excellent course ,mathematical concepts clear

By Vinayak V

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Jan 30, 2023

Very very much needed basics to any data scientist

By Daniel S

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Jan 11, 2023

Started easy, and finished hard. Fantastic course!

By Mert C

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Dec 26, 2022

Andrew NG makes complex topics easy to understand.

By Pranavdeep S

•

Oct 26, 2022

Thank you professor for such an enriching course.

By Btsn

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Aug 15, 2022

great course ever . i would like to say thank you.

By BOUSSAHLA O

•

Jul 24, 2022

The best course to start learning machine learning

By Elizabeth S O

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Jul 18, 2022

Explanations are intuitive and easy to understand!

By Muaaz A

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Dec 3, 2025

Best online course ever had! Simply High Quality.

By Karan S

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Jul 20, 2025

nice, informational and does make you write code.

By IMANE J T

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Apr 11, 2025

je vous remercie pour cette très bonne formation.

By David P

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Jan 28, 2025

Great content, easy to understand, thanks Andrew!

By Meher D

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Jan 6, 2025

It's a very good course especially for beginners.

By Shubha s

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Dec 8, 2024

Excellent course, a very big thank to Andrew sir.

By Srinath J

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Nov 25, 2024

Awesome explanation of the entire module loved it

By Pias M

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Oct 24, 2024

Sir is just awesome. His teaching is outstanding.

By zary .

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Sep 5, 2024

good effort put, ,specially in the optional labs.