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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
31,517 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

AA

Apr 30, 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.

WB

May 24, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

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4701 - 4725 of 5,960 Reviews for Supervised Machine Learning: Regression and Classification

By George F

•

May 8, 2023

thank u Andrew

By Yvan P

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Apr 17, 2023

the best intro

By anna k

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Feb 16, 2023

Great content!

By Adil M

•

Feb 1, 2023

Very elaborate

By Ansh P

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Jan 22, 2023

Amazing for me

By Nimish S

•

Jan 2, 2023

Amazing Course

By Ahmed N

•

Dec 30, 2022

very very good

By Adam M

•

Dec 12, 2022

Awesome course

By Amirhossein S

•

Nov 29, 2022

Awesome Course

By Ahmed S

•

Nov 18, 2022

very goooooood

By Umit B

•

Nov 8, 2022

great job dude

By 李Yaki

•

Oct 22, 2022

clearly stated

By José B P

•

Oct 14, 2022

Just perfect!

By Stefano S

•

Sep 30, 2022

Great Andrew!

By Larry_Liu

•

Sep 28, 2022

Great Content!

By Shan H

•

Sep 22, 2022

Great Course!

By jyoti v

•

Sep 5, 2022

Super Course.

By Matome D m

•

Aug 30, 2022

Awesome course

By Felipe Q

•

Aug 25, 2022

amazing course

By ESPIRITU, J B (

•

Aug 17, 2022

very intuitive

By Jyoti S

•

Jul 27, 2022

Beginner level

By SACHET K

•

Dec 30, 2025

Great Course!

By Jakkala S k

•

Aug 22, 2025

very helpfull

By Fabio M

•

Aug 17, 2025

best training

By Martin T

•

Jun 21, 2025

Very helpful!