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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
30,502 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.

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.

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3951 - 3975 of 5,780 Reviews for Supervised Machine Learning: Regression and Classification

By Dragos D

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May 11, 2023

Very clear and to the point!

By Zejd I

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Apr 6, 2023

Excellent introduction to ML

By Kumar S

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Mar 30, 2023

Crisp, clear course. Thanks.

By manohar k

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Mar 6, 2023

The best course in the world

By Andres F R G

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Dec 29, 2022

Amazing introductory course!

By Alejandro A

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Nov 8, 2022

Amazing classes and teacher!

By Saravanan P

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Nov 4, 2022

Very Good!!!! Really Nice...

By Mohammad M

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Oct 11, 2022

It was perfect

Thanks Andrew

By Sudipta M

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Oct 10, 2022

Simply Amazing, Amazing !!!!

By Naresh A

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Oct 2, 2022

nice course its very useful

By Diego A S B

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Sep 8, 2022

Me enacnto el curso gracias.

By Gerd D B

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Sep 4, 2022

Awesome guys! Thanks a lot!

By Yousef E

•

Aug 26, 2022

Best.

Thank you Dr.Andrew NG.

By Srinivas P

•

Oct 7, 2025

Great course and instructor

By Davide A P

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Apr 27, 2025

Very good and well teached!

By Ali E A

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Apr 20, 2025

very useful and interesting

By SUJAN M

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Apr 13, 2025

Very concise and important!

By Habibul I

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Mar 13, 2025

Great course for foundation

By Juan P L L

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Mar 8, 2025

Excelente curso y material.

By Yousif G

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Feb 17, 2025

Andrew is just phenomenal!!

By Ankit

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Feb 11, 2025

Very useful and interesting

By Feroz K

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Jan 16, 2025

fantastic, very informative

By 200_AKASH S

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Oct 1, 2024

very helpful and conceptual

By charith_neeli

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Sep 3, 2024

Excellent Work By Andrew Ng

By Đinh N L T

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Aug 20, 2024

very good, very informative