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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: ? 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 28, 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 糖心vlog官网观看.

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.

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3501 - 3525 of 5,849 Reviews for Supervised Machine Learning: Regression and Classification

By Pedro N

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Dec 1, 2023

Short and and to the point . Great course

By Abesingha H M K S

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Sep 16, 2023

This is the best machine learning course!

By Pituphum S

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Aug 9, 2023

Valuable and Benefit. Thank a lot for all

By Salman A K

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Aug 2, 2023

The course is very helpful for beginners.

By Karthikeyan D

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Jun 14, 2023

Amazing introduction to Machine Learning!

By Satyajit H

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Jun 10, 2023

The course has been designed excellently.

By Scotley W

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Apr 7, 2023

Really helpful for basic machine learning

By Falguni R

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Mar 19, 2023

very helpful to understand all the topics

By Shixin Q

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Feb 27, 2023

讲的非常仔细，我建议都跟着做每一个练习

要是有课件笔辞飞别谤笔辞颈苍迟可以下载就好了

By Frank L

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Jan 9, 2023

A whole new world is opening up to me now

By Sheharyar

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Jan 2, 2023

Best ML course ever I learn. Thank you ?

By ARYAN A 2

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Dec 9, 2022

It was one of the best course i ever took

By Hu y

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Dec 5, 2022

Awesome! Very pleasant trip for learning~

By Michael K

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Oct 31, 2022

The best place to begin your ML journey!

By B?o T G

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Sep 12, 2022

Best Machine Learning Course for Beginner

By Omar H

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Aug 17, 2022

Awesome, The best courses I've ever taken

By Ricardo C E

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Jul 20, 2022

Very Easy to understand complex concepts.

By MMEHDI A

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Nov 8, 2025

Awesome and completely beginner friendly

By Mukesh K

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Nov 7, 2025

concise, conceptual, to-the-point course

By samah f

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Sep 16, 2025

Very well structured and simple to Learn

By Kunal M

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Aug 13, 2025

Very nice indepth and easy to understand

By Asmi A

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Jul 10, 2025

Andrew Ng explained concepts profoundly!

By BAIJ S

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Jul 9, 2025

Wonderful my knowledge has been enhanced

By Venna S r

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Apr 1, 2025

I am andrew ng absolute the best teacher

By Shivam J

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Mar 29, 2025

Excellent Cource I Learned a Lot From It