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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
30,502 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.

AA

Apr 29, 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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4276 - 4300 of 5,780 Reviews for Supervised Machine Learning: Regression and Classification

By Karen G T

•

Aug 26, 2023

Very well explained

By Praneeth N

•

Jul 30, 2023

A wonderful course.

By Alaa G

•

Jul 7, 2023

It's amazing course

By Twistin T

•

Mar 29, 2023

nice course for me

By doru b

•

Mar 28, 2023

Excelent Course !!!

By Siavash

•

Mar 17, 2023

fascinating course!

By Ilyas R

•

Mar 5, 2023

tres bien structure

By gulistan k

•

Feb 14, 2023

best thing ever!!!!

By Qianxin W

•

Dec 17, 2022

讲解清楚，习题和课程中测试衔接紧密，好

By hoang l

•

Oct 17, 2022

so easy for newbie

By Vishnu V

•

Sep 26, 2022

really good course

By Josue S M

•

Sep 23, 2022

very good! thanks!

By chldntjr

•

Sep 3, 2022

good teacher, thx!

By Pranoy D

•

Aug 25, 2022

Much details Course

By Jarren J

•

Aug 12, 2022

Good for beginners.

By Asim P

•

Jul 25, 2022

Thank you very much

By Pak Y H

•

Jun 22, 2022

Best online course!

By Gabriel R

•

Jun 20, 2022

Very good course :)

By Andrew

•

Oct 6, 2025

beiginner friendly

By Johan Z J I

•

Sep 27, 2025

really informative

By Vishnu V

•

Aug 24, 2025

Outstanding course

By Taher M

•

Feb 21, 2025

Best Course for ML

By HARSH K T

•

Feb 21, 2025

Course is amazing.

By Shayan J

•

Feb 13, 2025

i love this course

By Trung P T

•

Jan 28, 2025

perfect, wonderful