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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
30,880 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

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.

DB

May 31, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

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2501 - 2525 of 5,846 Reviews for Supervised Machine Learning: Regression and Classification

By U臒ur B

鈥�

Aug 15, 2022

Great course. Even if you are not new to ML this is a good course to take.

By ahmed m a e a

鈥�

Jul 27, 2022

That's a great course.

thanks to Andrew Ng, Deeplearning.ai, and Standford.

By MD. M I 1

鈥�

Sep 27, 2025

Very well structured and easy to understand lectures with practical labs.

By El B S E

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Sep 26, 2025

Perfect explications and simple examples made it an easy subject to study

By Dennis L

鈥�

Sep 16, 2025

Just about perfect level (for me) of theory, programming and explanation.

By ps s

鈥�

Sep 4, 2025

An excellent explanation of the basics, very much needed for ML knowledge

By Jiho K

鈥�

Jan 20, 2025

As a beginner, i can't imagine a better lecture to start with. Thank you.

By Deleted A

鈥�

Oct 14, 2024

I really like the course. Thank you Mr.Andrew for such a wonderful course

By Sandeep M

鈥�

Aug 31, 2024

Excellent coverage of essentials. Made with great care and love. Regards.

By Randy O

鈥�

Aug 24, 2024

this is a nice course that will teaches you enough in this specialization

By Desta G G

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Aug 1, 2024

Well built and organized sections. Easy to follow and intiutive contents.

By Syfur R

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Mar 8, 2024

It was an amazing experience learning the fundamentals of ML from Andrew.

By Yun X

鈥�

Dec 31, 2023

Dr Ng's ability to make difficult concepts easy to understand is amazing.

By Mohammad S

鈥�

Oct 19, 2023

Very much recommended for the beginners in the world of Machine Learning!

By Johnson c

鈥�

Aug 28, 2023

It is a great course to learn basic supervised Machine learning algorithm

By Adriana J

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Aug 14, 2023

Es un curso muy bien presnetado y explicado para comenzar con la tem谩tica

By Matthew W

鈥�

Aug 7, 2023

I love they way the math sticks because of the way the content is taught.

By Krish K

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Jul 3, 2023

Learned difficult ml concepts in easy and intuitive way. Thanks Andrew Ng

By yassine c

鈥�

Jul 2, 2023

C'茅tait tr茅s int茅ressant, parmis les meilleures cours du Machine Learning

By Aryan K

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Apr 8, 2023

This course explains basics of linear regression and logistic regression.

By Koushik M

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Mar 23, 2023

One of the best course and thank you coursera for availing financial aid.

By Dipendra T

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Mar 15, 2023

An exceptional teacher you are Mr. Andrew. Happy to be learning from you.

By Raymond W T

鈥�

Mar 6, 2023

nice. much higher production values than some of andreew's first courses.

By Lossan B

鈥�

Feb 17, 2023

Great approach in presenting the topic, very deep insight into the topic.

By BHUPENDRA K

鈥�

Feb 15, 2023

This course is really amazing and I learnt a lot while doing this course.