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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
30,757 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

ED

Apr 14, 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!!

JG

Apr 27, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

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3426 - 3450 of 5,824 Reviews for Supervised Machine Learning: Regression and Classification

By Jayraj D

•

Aug 4, 2023

Excellent for beginners in the field of ML.

By Amirhossein S

•

Jul 25, 2023

It was so useful and great,

Many thanks,

Ames

By Gabriel R

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Jun 6, 2023

Andrew is a great teacher. Well worth it :)

By duchoan m

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May 30, 2023

I really love this course. 5 stars from me!

By Dr. R K G

•

May 9, 2023

Loved it. What appeared hard was made easy.

By Polina T

•

Mar 28, 2023

Great course! Good structured and detailed!

By Kshitiz S

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Mar 26, 2023

excellent course . From basics to advance .

By Bartosz M

•

Mar 11, 2023

I really enjoyed learning from this course.

By ali n

•

Mar 3, 2023

goddamn best thank you for financial aid <3

By Yusuf S

•

Jan 19, 2023

It was so good to the new learners like me.

By Mohamed I I A

•

Oct 18, 2022

Very good introduction course to ML world.

By Mohammed Y

•

Sep 25, 2022

As simple as it can possibly be explained.

By Philip G

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Aug 15, 2022

Andrew Ng's course on ML is a masterpiece.

By kareem n

•

Aug 10, 2022

Excellent Course, Instructors, and Content.

By plitmuss

•

Jul 31, 2022

Very nice introduction in machine learning!

By Basel A

•

Jul 28, 2022

Literally the best beginner-friendly course

By Richard G

•

Jul 15, 2022

Fantastic introduction to machine learning.

By Yevgen P

•

Jul 7, 2022

Very well structured and clearly explained!

By Abdelrhman A

•

Jun 22, 2022

World-class and the best course in ML ever!

By Lovish A

•

Sep 21, 2025

nice course, with great visualization ^__^

By Nicolae P

•

Aug 21, 2025

Concise but comprehensive, practical, fun!

By Cameron B

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Aug 7, 2025

Excellent explanations and easy to follow!

By Ashok S

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May 22, 2025

Very well structured & very good teaching.

By Ajiroghene S O

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Apr 1, 2025

Gerat course for Machine Learning Engineer

By Aditya S

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Mar 19, 2025

Best introductory course on ML I have seen