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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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4826 - 4850 of 5,778 Reviews for Supervised Machine Learning: Regression and Classification

By Tomas B F A

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Apr 6, 2023

Excellent!

By David D Z

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Mar 18, 2023

Phenomenal

By Md. N S

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Mar 18, 2023

Excellent.

By Qaiser A

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Mar 17, 2023

VERY GREAT

By Hamza A

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Mar 2, 2023

Satisfied!

By Xueqi W

•

Jan 3, 2023

Thank you!

By lily h

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Jan 2, 2023

excellent.

By yuzhuobai

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Nov 26, 2022

Thank you!

By Pavan k C N

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Oct 14, 2022

very good

By Shanaaz A

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Sep 30, 2022

Amazing!!

By PEDRO M A D O

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Aug 21, 2022

Fantastic!

By Gonzalo M

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Jul 21, 2022

Very Good

By Rui J ( S / N

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Jul 19, 2022

Very good!

By Mislav P

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Jul 18, 2022

Fantastic!

By Ibrahim H M A

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Jul 15, 2022

great work

By Sagar K

•

Jul 14, 2022

Thank You!

By Gulsum

•

Oct 10, 2025

Recommend

By Shivam B

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Oct 4, 2025

very nice

By Ahmed W

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Sep 18, 2025

excellent

By Alizon V

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Sep 16, 2025

EXCELENTE

By Nicolás S (

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Sep 15, 2025

Muy bueno

By Sunny J

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Aug 31, 2025

Excellent

By Rafa C

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Aug 13, 2025

Very good

By EDGARD A D S

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Aug 6, 2025

muito bom

By AI E

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Aug 3, 2025

Excellent