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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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3751 - 3775 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Steffen B

•

Sep 22, 2023

Thanks Andrew, great work!

By Brett H

•

Aug 9, 2023

Just excellent, that's all

By Navya N

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Aug 1, 2023

great course helped a lot

By Mtir M

•

Jul 15, 2023

Parfait , Merci beaucoup !

By Satya M P

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Jun 27, 2023

Love it. Awesome teaching.

By Pranav R

•

Jun 4, 2023

Loved the content and flow

By Ngakan P W

•

Apr 10, 2023

Good, the material so good

By Amay V N

•

Feb 15, 2023

Great intro to the subject

By BANDHARU S 1

•

Feb 12, 2023

this course is awesome....

By jansher m

•

Dec 18, 2022

Great learning experience.

By Anshuman S

•

Dec 3, 2022

Fully practical & helpful.

By Judy A

•

Nov 9, 2022

I love professor Andrew Ng

By Aditya D

•

Oct 2, 2022

Best course for beginners

By Luis E M M

•

Sep 27, 2022

Amazingly well explained!

By Shivam V

•

Sep 20, 2022

Overall a good experience

By Fatemeh B

•

Aug 24, 2022

Great course. Many thanks.

By KISHAN G

•

Aug 10, 2022

This course was Awesome.

By Mazhar I

•

Jul 25, 2022

Highly recommanded .......

By Jacques-Antoine D

•

Feb 25, 2025

Excellent videos and labs

By Romain D

•

Sep 26, 2024

Very clear and insightful

By Pranav S

•

Sep 20, 2024

Very quality of knowladge

By prabhjot s

•

Jul 23, 2024

excellent teaching skills

By Jatin S

•

Jun 30, 2024

Best course for beginners

By Sarthak A

•

May 21, 2024

thanku andrew ng for this

By Abdullah D

•

Mar 24, 2024

Thank you for everything.