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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
32,362 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.

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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3826 - 3850 of 6,090 Reviews for Supervised Machine Learning: Regression and Classification

By Md. R H

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Jul 10, 2022

Very effective and wonderful course.

By Banriskhem K

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Jul 9, 2022

Programming assignments are too easy

By sohrab

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Dec 26, 2025

That was an amazing course indeed !

By Gabriel C

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Sep 16, 2025

Excelente curso, muy bien explicado

By Haraprasad S

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Sep 9, 2025

Awesome content and well presented.

By Sergii Z

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Jul 26, 2025

It's a classic course for a reason!

By Govind B S

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Jul 3, 2025

Excellent teaching by Andrew Ng sir

By Roybert A

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Mar 15, 2025

Felicitaciones, excelente material.

By Partha P D

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Jan 12, 2025

Informative and very comprehensive.

By Wenhao L

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Jan 6, 2025

it is very good course for beginner

By Fabio A T

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Nov 20, 2024

super Teacher and very good course.

By Adeel S

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Nov 19, 2024

One of the best course I ever done.

By Fazliddin S

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Oct 20, 2024

having kernel methods would be nice

By Juan D C

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Sep 16, 2024

Great Intro and practical examples.

By El H A S

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Jul 20, 2024

Really nice course, thanks Andrew^^

By Nikhil R

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Jul 11, 2024

Learnt A Lot......Thanks Andrew sir

By Greeshma J

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Jun 29, 2024

Best beginner friendly ML course...

By Hong D

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Apr 25, 2024

The course layout is easy to follow

By V Z Z

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Mar 25, 2024

Thank you all for this great course

By ABHINAV

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Feb 14, 2024

Great Course to begin with.........

By Ganesan P

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Feb 3, 2024

It was a great learning experience.

By souhaieb e

•

Jan 28, 2024

merci beaucoup pour cette formation

By Josh B

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Jan 22, 2024

Great course for beginners. Thanks.

By Moe A

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Sep 17, 2023

Amazing teacher Thanks to Mr.Andrew

By k200122 A

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Aug 28, 2023

Great in-depth course for beginners