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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
32,110 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

AP

Sep 4, 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.

AA

Apr 30, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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6001 - 6025 of 6,056 Reviews for Supervised Machine Learning: Regression and Classification

By Kushagra G

Oct 15, 2024

decent

By Muhammad s

Feb 21, 2026

good

By Eman E

Feb 10, 2024

good

By Mahesh G

Aug 22, 2023

s

By Gayatri P

Nov 12, 2025

The coding part wasn't really taught at all. The professor explained the mathematical concepts well but i was also expecting to actually learn the coding from scratch

By Rohith K

Nov 25, 2025

the preatice lab is not correct it has error i am not able crt those error because the lab is not able to write the code

By Richie B

Nov 30, 2022

Great course if you know how to program, but you really need a python background to appreciate it.

By Darius S h

Jan 8, 2026

Mon problem n'est pas régler je veux reprendre le devoir s'il vous plaît😭😭😭😭😭😭

By Daniele d b

Dec 14, 2023

quite too basics...too few practical exercise, just scratching the surface of ML

By rverker

Jun 23, 2024

Impossible to do the exercises if you don't pay. The course is interesting.

By Rohan S

Jun 3, 2025

The course should have mentioned that Python knowledge is a prerequisite.

By Juergen G

Aug 15, 2023

Very nice and helpful for my next career steps.

By Anish I

Jan 30, 2024

too theoretical, not much hands on learning

By Shoaib K

Sep 7, 2024

Fix your week 2 lab exercise the last one

By Houssam T

Sep 22, 2023

i want to see my name on this certeficate

By Thomas S

Feb 2, 2026

the video wont start after poll

By Natalia S

Feb 25, 2024

no math exercises to practice

By wenyi z

Jun 29, 2025

suggest don't include code

By Hershal C

Jan 23, 2026

not beginners lever

By Spikey

Nov 8, 2022

Oversimplified

By Abhinav S

Dec 3, 2022

not good

By Abdulla A

Oct 9, 2025

Lab

By Patricia R

Oct 21, 2023

Me paso lo mismo con el curso anterior y es que si no realizas los laboratorios aunque hayas aprobado todo y a pesar de que los test te dan como aprobados dicen que no apruebas y que quedas en 0%, es algo como reiterativo con coursera asi que me rindo, no continuo intentando sacarme certificados por acá

By Kamil W

Oct 23, 2024

Awful course. Labs aren't explained clearly at all. You pay £37 per month and you end up with a few slides a few hours of explanation and unclear labs. The final graded assignment was a joke as well, the very first exercise was the hardest of them while the rest was trivial.

By DV B

Jun 21, 2024

Mostly I was inundated with Nagware after ever short video segment, only to discover that Machine Learning learning was not even introduced. Wasted much time on trivialities like linear regression. I never learned anything about Machine Learning, per se.