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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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3601 - 3625 of 6,090 Reviews for Supervised Machine Learning: Regression and Classification

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 11, 2024

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

By Glenn M

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Feb 28, 2024

Good speed of videos. Excellent delivery!

By Pramod W

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Feb 4, 2024

One of the best courses I've ever studied

By Aruna R J

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Jan 28, 2024

Useful and Easy to understand. Thank you!

By Rodrigo T

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Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

By AKSHAT S

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Dec 6, 2023

excellent explanation and course material

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 15, 2023

This is the best machine learning course!

By Pituphum S

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Aug 8, 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 26, 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

By Frank L

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Jan 8, 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 Bảo T G

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Sep 12, 2022

Best Machine Learning Course for Beginner

By Omar H

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Aug 16, 2022

Awesome, The best courses I've ever taken

By Ricardo C E

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Jul 19, 2022

Very Easy to understand complex concepts.

By MMEHDI A

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Nov 8, 2025

Awesome and completely beginner friendly