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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
31,037 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

AA

Apr 29, 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.

RG

Aug 30, 2024

The course was excellent, and I gained valuable knowledge throughout. I am also grateful for the financial aid, which allowed me to complete the program successfully. Thank you for this opportunity.

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4326 - 4350 of 5,909 Reviews for Supervised Machine Learning: Regression and Classification

By lion

•

Nov 13, 2023

Thank you so much :)

By Muhammad O

•

Oct 7, 2023

Excellent Experience

By A S M S I

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Sep 23, 2023

Andrew Ng is awesome

By abhi c

•

Sep 7, 2023

Very well structured

By MUHAMMAD U

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Jul 22, 2023

very nice experience

By Mirza Y s B

•

Jun 20, 2023

Pretty wellexplained

By Christoph M

•

May 12, 2023

Fantastic instructor

By Umang T

•

Apr 25, 2023

Simple yet on point!

By Matthew B

•

Feb 14, 2023

I really enjoyed it.

By Heitor A A M

•

Feb 4, 2023

The best course ever

By Ifeoluwa F

•

Jan 18, 2023

Great Course Overall

By Shuvam M

•

Nov 30, 2022

love this course sir

By Alan

•

Oct 5, 2022

Very well explained!

By SABHAVATH R

•

Sep 16, 2022

i am learn new thing

By Arkan N

•

Jul 31, 2022

what a great course!

By Jitendra B

•

Dec 3, 2025

such a great course

By Alex E

•

Nov 21, 2025

Clear and enjoyable

By CFCA

•

Sep 17, 2025

Muy bueno: 9 de 10.

By André G

•

Sep 13, 2025

Great introduction!

By Chris K

•

Jul 2, 2025

Very understandable

By Kevin C

•

Apr 17, 2025

phenomenal teaching

By Elvis T

•

Mar 27, 2025

Exceptional lecture

By Odysseas K

•

Mar 11, 2025

Very undrestandable

By Ahmad S

•

Oct 25, 2024

Andrew is wonderful