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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
28,030 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

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4076 - 4100 of 5,360 Reviews for Supervised Machine Learning: Regression and Classification

By mah'd a

•

Apr 26, 2023

Excellent Course.

By Taufik S N

•

Mar 31, 2023

Amazing very good

By Małgorzata G

•

Mar 26, 2023

excellent course!

By Carel T

•

Mar 21, 2023

Excellent, Thanks

By henry l

•

Dec 12, 2022

wonderful course!

By 1DS21AI001 A N A

•

Nov 17, 2022

Excellent course!

By Sudip S C

•

Oct 25, 2022

Excellent course!

By Chase P

•

Oct 24, 2022

Wonderful course

By Yue C

•

Oct 19, 2022

I love the lab !

By Sonu G

•

Oct 12, 2022

Wonderful Course

By Santiago B G

•

Oct 6, 2022

Amazing teaching!

By ehsan k

•

Oct 6, 2022

Simply the best!

By GU F

•

Sep 17, 2022

nice for freshman

By Samarth C

•

Aug 27, 2022

Very nice course.

By Florence P

•

Jul 10, 2022

Very well taught!

By LIKITHA C B 2

•

Jul 6, 2022

Very informative!

By Hritik A

•

Jun 30, 2022

Very Nice Content

By Fernando A

•

Jun 28, 2022

Excellent course!

By AKSHAT K

•

May 4, 2025

Very good course

By Timileyin D

•

Apr 14, 2025

Excellent course

By Farhan A

•

Apr 1, 2025

Excellent course

By smartcast C

•

Dec 28, 2024

Best course ever

By Divya S

•

Nov 16, 2024

excellent course

By Aya B

•

Nov 3, 2024

tres interessant

By Antoine L N

•

Oct 10, 2024

Excellent Course