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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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4351 - 4375 of 5,326 Reviews for Supervised Machine Learning: Regression and Classification

By Muhammad H

•

Oct 17, 2023

It's Amazing

By Wahab A

•

Oct 7, 2023

Best course.

By Revanth C

•

Sep 18, 2023

Exceptional!

By Armin p

•

Sep 17, 2023

great course

By Anish K D 2

•

Sep 1, 2023

Very helpful

By Muhammad H A

•

Aug 12, 2023

Great Course

By Shrisha S

•

Aug 11, 2023

Great Course

By Ziad G

•

Jul 29, 2023

Great course

By Chathura R

•

Jul 16, 2023

Great course

By Kian S

•

Jun 26, 2023

Great Course

By Vansh C

•

Jun 24, 2023

Great course

By Elgizouli M

•

Jun 22, 2023

just amazing

By Ayush V

•

Jun 10, 2023

awesome!!!!!

By Rohan K

•

Jun 5, 2023

Great Cource

By Anson O

•

Jun 1, 2023

Nice course!

By Faizan U I

•

Jun 1, 2023

great course

By Rui S

•

May 15, 2023

very helpful

By 邓开心

•

May 9, 2023

Excellent!!!

By Ch V

•

Apr 29, 2023

Great Course

By bounphet t

•

Apr 15, 2023

great course

By Muhammad A R

•

Apr 11, 2023

very usefull

By Gautam S

•

Apr 2, 2023

Great Course

By Niranjana N

•

Apr 1, 2023

Great course

By Krish S

•

Mar 18, 2023

Exceptional!

By manas d

•

Mar 16, 2023

very helpful