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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
27,767 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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2726 - 2750 of 5,326 Reviews for Supervised Machine Learning: Regression and Classification

By Abdelrahman O

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Apr 3, 2024

A very good course to understand the fundamentals of ML.

By fareed u

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Mar 12, 2024

amazing course and very easily and efficiently explained

By Sanjay F

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Feb 1, 2024

Excellent Course. Please keep launching topical courses,

By ViaLabsDigital - A d I

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Jan 10, 2024

This course is fundamental for studying machine learning

By Younas K

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Dec 31, 2023

Great course first up, beginner friendly but insightful.

By sandeep s

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Dec 4, 2023

IT WAS ONE OF THE BEST COURSE OUT HERE THAT ONE CAN GET.

By Diego E M S

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Jun 23, 2023

Great course but I would to like more deep in the topics

By Hussamuddin S

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Jun 10, 2023

Amazing! helped my Machine learning concepts to improve!

By Sungbo S

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May 21, 2023

Best Ever, More than University.... THANK YOU SO MUCH!!!

By Gaurav B

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May 1, 2023

Very intuitive and in-depth. Learned a lot of new things

By Nitin G

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Feb 26, 2023

Good course for beginners with all foundational details.

By Mohaned D

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Dec 30, 2022

Optional Labs were great, Everything was smooth sailing.

By David L

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Dec 20, 2022

Need to know some python beforehand, but amazing course.

By Bhaskar P

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Oct 6, 2022

Andrew's lessons are exceptional. I thoroughly enjoyed.

By Mohammed A

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Sep 30, 2022

Coding exercises could be more involved and independent

By Reuben P

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Aug 9, 2022

A very thorough and accessible introduction to concepts.

By Amirreza M

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Aug 4, 2022

Thanks a lot. I learned useful lessons from this course.

By kalluri s

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Aug 4, 2022

All the concept are explanied very clearly by Andrew NG.

By Saber G

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Jul 8, 2022

Do you really have doubts about passing this course? LOL

By Yasser A M

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Jun 19, 2022

Excellent , well Organized and very structure approch .

By AYOUB E

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Mar 10, 2025

very good materials with a clair easy way of explaining

By BERDEJO C P R

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Feb 26, 2025

Me encantó el curso, muy didactico, va directo al grano

By vatsal v

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Dec 29, 2024

Incredible course, all my fundamentals are now cleared.

By Olivier P

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Nov 18, 2024

Highly relevant, progressive, very well delivered class

By Gaurav S

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Sep 15, 2024

Best course for beginner, So much to explore further...