Chevron Left
Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
29,782 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 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!!

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.

Filter by:

4276 - 4300 of 5,645 Reviews for Supervised Machine Learning: Regression and Classification

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 Raksha C C

•

Aug 12, 2025

very nice course

By Zineb H

•

Aug 11, 2025

very good course

By Bhavy R

•

Jul 28, 2025

very good course

By Rajvardhan S

•

Jul 15, 2025

fantastic course

By Omelian

•

Jun 15, 2025

best course ever

By Ilyas N

•

Jun 11, 2025

very good 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

By Edward J D

•

Oct 7, 2024

Very math heavy!

By Kavya L

•

Oct 7, 2024

very informative

By Aryan S

•

Oct 3, 2024

amazing concepts