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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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3801 - 3825 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Kakali M

•

Dec 9, 2024

experience was very nice

By Kareem M

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Sep 22, 2024

Thanks for your hard job

By Solomon A

•

Aug 14, 2024

best course ever love it

By Nguyen N

•

Aug 13, 2024

Good course for beginner

By Darshan A

•

Aug 6, 2024

One of the best course .

By Mohammed Y

•

May 2, 2024

Very informative course.

By Milan J

•

Apr 20, 2024

Great course, thank you!

By Radhika M

•

Dec 11, 2023

Good course, informative

By Sankha W

•

Nov 23, 2023

This is the best course.

By Michal G

•

Nov 7, 2023

Very good course. Thanks

By Omar A

•

Oct 27, 2023

very goooooooooooooooood

By Mohammed A

•

Oct 14, 2023

This course was superb!!

By Mirko J

•

Oct 6, 2023

Great code practices ...

By Farshad H

•

Oct 1, 2023

That was really awesome.

By Hossam A A

•

Jun 25, 2023

very useful introduction

By mahan k

•

Jun 19, 2023

best introduction course

By Jeremiah

•

May 21, 2023

Really fantastic course!

By Azim S E

•

May 1, 2023

this is wonderful course

By Julian m

•

Apr 10, 2023

Brilliant, great course.

By Kailashpati M S

•

Mar 22, 2023

Amazing experience .....

By Heizly S

•

Jan 13, 2023

Muy buenas explicaciones

By Alessandro P

•

Dec 26, 2022

It is an amazing course!

By Lizhi Z

•

Nov 26, 2022

Excellent and Ingenious

By Gu B

•

Aug 25, 2022

pretty good. Recommended

By shagufta p

•

Aug 24, 2022

It was very informative