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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
30,255 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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

ED

Apr 14, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

AD

Nov 24, 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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2076 - 2100 of 5,727 Reviews for Supervised Machine Learning: Regression and Classification

By Faramarz K

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May 3, 2023

The course was great and covers all basic topics you need for understanding machine learning

By Kamyar A

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Dec 15, 2022

Great Course for beginners with no previous knowledge in ML and little proficiency in Python

By Ali A

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Aug 16, 2022

Great course, though it is basic but it builds a very good foundation for future advanced ML

By Arslan A

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Jul 22, 2022

Very nice and detailed course to learn how machine learning algorithms work with mathematics

By Suresh G

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Aug 16, 2025

Very good introduction and explanation of cost functions for Linear and Logistic Regression

By Ramu B

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Jul 3, 2025

It was an amazing month-long journey with Andrew Ng. Those optional labs were instrumental.

By Leonardo K M

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May 22, 2025

It just made it possible to develop my undergraduate thesis, without it, I'd never done it.

By Sebastian T

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May 21, 2025

I came to a great understanding of Machine Learning Concepts on a fundamental Level. 10/10!

By MOHAMMAD T K

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Apr 3, 2025

I recommend this course to everyone interested in understanding how machine learning works.

By Jason M

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Sep 26, 2024

Andrew is a gifted teacher, on top of being a brilliant student himself. Excellent course!

By Sanjib S

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May 20, 2024

Clear explanation, excellent labs for learning, nice question and answers and good learning

By Davide P

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Apr 11, 2024

Excellent introduction to the fundamentals of ML, simple to follow and clear to understand.

By Mohammad T K

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Apr 6, 2024

It was super interactive and there is no way anyone can finish the course without learning.

By Fabricio L

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Feb 28, 2024

INCRE脥BLEEEEE CURSOOOO. I love you Andrew, you are and incredible teacher and a genious. :D

By Sana U

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Dec 23, 2023

This course is very helpful for me, I learned a lot of from this and experienced in python.

By Mazvydas P

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Sep 4, 2023

Great introductory course. Andrew Ng presents material in a concise, easy to follow manner.

By M.Huzaifa M

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Aug 30, 2023

Very Very good course massive knowledge about linear regression such a informative course.

By MS. J K

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Aug 5, 2023

Thank you for offering this course for me and i learned a lot, one of the best courses ever

By M S

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Jul 26, 2023

Masha' Allah an excellent course and with it is from a basic to professional type of course

By Adebayo E

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Jun 29, 2023

This is my starting point and I'm very grateful for the opportunity to learn form the best.

By Shahbaz K

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Mar 4, 2023

This was so good for freshman and you will be able to understand basic things of this field

By Ricardo R

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Dec 26, 2022

The professor is extremely clear in his explanations and the labs are appropiattely complex

By Michail V

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Dec 12, 2022

To the point, greatly taught Machine Learning course, for both beginners and intermediates.

By YASWANTH S R Y

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Nov 2, 2022

It was great experience and have got a good understanding of the machine learning concepts.