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
29,650 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

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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!!

Filter by:

4976 - 5000 of 5,627 Reviews for Supervised Machine Learning: Regression and Classification

By Niraj K

•

Oct 2, 2022

good

By West X

•

Sep 28, 2022

Good

By yazidshuqair

•

Sep 21, 2022

great

By 桂崇徳

•

Aug 22, 2022

great

By Richard G

•

Jul 31, 2022

Great

By Arindam P

•

Jun 30, 2022

Great

By Cao T Đ

•

Aug 13, 2025

PEAK

By Naveen

•

Aug 4, 2025

nice

By Saqib L

•

Aug 3, 2025

good

By Ankit V

•

Aug 3, 2025

good

By 이재현

•

Jul 30, 2025

good

By abdelaye s

•

Jul 29, 2025

Cool

By Anas A

•

Jul 27, 2025

good

By AbdurRehman S

•

Jul 21, 2025

nice

By MD. A Y P

•

Jul 9, 2025

good

By Phạm N D P N D

•

Jun 30, 2025

nice

By Mohsen B

•

Jun 10, 2025

good

By 得壹

•

Jun 7, 2025

nice

By Pradyumna V

•

May 22, 2025

good

By Guillaume E

•

Mar 27, 2025

good

By Sunny B G

•

Mar 21, 2025

good

By Aditya P S

•

Mar 13, 2025

Sexy

By Rui L

•

Mar 12, 2025

good

By Ahanaf A

•

Jan 20, 2025

best