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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
32,052 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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3501 - 3525 of 6,050 Reviews for Supervised Machine Learning: Regression and Classification

By Abu B

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Oct 28, 2022

The course is amazing. Thank you Andrew NG.

By FU D

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Oct 20, 2022

Excellent courses! just can't stop learning.

By Martin M

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Sep 9, 2022

Very good introduction to machine learning!

By Ajay S

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Sep 6, 2022

Good Course Content.. Excellently Designed.

By Kamal K

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Sep 5, 2022

I was expecting more rigorous practice labs.

By pritam s

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Sep 5, 2022

great course for basics of machine learning

By Heet P

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Aug 19, 2022

this is awesome!!!! more power to andrew sir

By Robert K

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Aug 8, 2022

Excellent detailled explanations. Well done.

By Ajit N

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Aug 6, 2022

ample amount of knowledge got for the course

By Kang Y J

•

Dec 6, 2025

A well-put together curriculum by Andrew Ng

By Daniel J

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Aug 31, 2025

This is one of the best courses I have seen

By Hernan M

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Jul 28, 2025

Excellent resource. I enjoyed it very much.

By KOLA.VENKATA.SAI.PUTRAYYA K

•

Apr 4, 2025

as a beginner i really enjoyed this course.

By SAYAM P

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Mar 3, 2025

Wow such clear explanations really loved it

By Zmumu

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Feb 1, 2025

One of the best courses I've ever attended.

By Abu M R 2

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Dec 12, 2024

One of the best course in machine learning.

By Sumitra D

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Sep 28, 2024

Happy to learn more about this opportunity.

By Brian C

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Sep 26, 2024

Excellent class, very thorough and complete

By MAURICIO O Q

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Sep 8, 2024

Nice course, its really powerfull knowledge

By Vicki A

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Sep 4, 2024

This course is exceptionally well designed!

By Keerthana S A

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Aug 26, 2024

Very detailed course and easy to understand

By MD S S

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Apr 28, 2024

Best Hands-on practice so far I have tried.

By Mark R N

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Apr 4, 2024

Excellent introduction to machine learning.

By Ali A N

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Mar 30, 2024

you could add more data science stuff to it

By PANDEY R R A

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Nov 10, 2023

Best thing out there, Andrew ng is the goat