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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
27,853 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!!

FA

May 25, 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.

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3426 - 3450 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Banriskhem K

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Jul 9, 2022

Programming assignments are too easy

By Roybert A

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Mar 16, 2025

Felicitaciones, excelente material.

By Partha P D

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Jan 12, 2025

Informative and very comprehensive.

By Wenhao L

•

Jan 7, 2025

it is very good course for beginner

By Fabio A T

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Nov 20, 2024

super Teacher and very good course.

By Adeel S

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Nov 19, 2024

One of the best course I ever done.

By Fazliddin S

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Oct 20, 2024

having kernel methods would be nice

By Juan D C

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Sep 16, 2024

Great Intro and practical examples.

By El H A S

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Jul 21, 2024

Really nice course, thanks Andrew^^

By Nikhil R

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Jul 11, 2024

Learnt A Lot......Thanks Andrew sir

By Greeshma J

•

Jun 29, 2024

Best beginner friendly ML course...

By Hong D

•

Apr 25, 2024

The course layout is easy to follow

By Vahideh Z Z

•

Mar 25, 2024

Thank you all for this great course

By ABHINAV

•

Feb 14, 2024

Great Course to begin with.........

By Ganesan P

•

Feb 4, 2024

It was a great learning experience.

By souhaieb e

•

Jan 28, 2024

merci beaucoup pour cette formation

By Josh B

•

Jan 23, 2024

Great course for beginners. Thanks.

By Moe A

•

Sep 17, 2023

Amazing teacher Thanks to Mr.Andrew

By k200122 A

•

Aug 28, 2023

Great in-depth course for beginners

By Sara Y

•

Aug 16, 2023

It was a great learning experience.

By Talhi I

•

Aug 4, 2023

Amazing, variant and understandful.

By jaa j

•

Jul 31, 2023

So so sooooooo gooooooooooooooddddd

By Umar S

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Jul 28, 2023

it's a amazing content-based course

By Soumik S

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Jul 24, 2023

It was a great learning experience.

By Sufyan A

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Jul 21, 2023

very helpful and full of knowledge.