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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
31,768 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

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.

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 Coursera.

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3551 - 3575 of 5,995 Reviews for Supervised Machine Learning: Regression and Classification

By Kevin A

•

Aug 8, 2022

The best course I've taken in a long time!

By Kleanthis M

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Aug 4, 2022

The best introductory course on ML by far!

By Süleyman M P

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Jun 19, 2022

It is very basic and understandable course

By Alexander S

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Apr 17, 2025

Good insights and practical hands on labs

By Ravi D

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Mar 5, 2025

Best Beginner Course for Machine Learning

By Amaro B

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Feb 8, 2025

very good way of teacing complex concepts

By Khánh Q

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Jan 18, 2025

super easy to understand. A great teacher

By Nitrous O

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Oct 30, 2024

I simply just fell in love with Andrew Ng

By Michael H

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Apr 24, 2024

Really learned a lot ! Great instructor.

By Venkata S N

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Apr 21, 2024

Superb explanation and labs. Awesome job!

By Tsehay G

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Apr 12, 2024

It's best course, I have ever never seen.

By Glenn M

•

Feb 29, 2024

Good speed of videos. Excellent delivery!

By Pramod W

•

Feb 5, 2024

One of the best courses I've ever studied

By Aruna R J

•

Jan 29, 2024

Useful and Easy to understand. Thank you!

By Rodrigo T

•

Jan 8, 2024

Greate course! Thanks Andrew Ng and team!

By AKSHAT S

•

Dec 7, 2023

excellent explanation and course material

By Pedro N

•

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

•

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PowerPoint可以下载就好了