Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

3,488 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


Jul 16, 2022

It is the Best Course for Supervised Machine Learning!

Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!


Sep 10, 2022

It's completely fine. I have learned a lots of thing in this first course of specialization. Thanks to courseera for giving such a good and fine course on financial aid. I am very thankful to them.

Filter by:

251 - 275 of 918 Reviews for Supervised Machine Learning: Regression and Classification


Aug 20, 2022

By Yousef G

Aug 20, 2022

By Rahul P

Jun 23, 2022

By Ali A d s

Aug 18, 2022

By Aditya M

Aug 11, 2022

By Ivan Z

Aug 21, 2022

By Tarandeep S

Jul 24, 2022

By Sumedh K

Sep 3, 2022

By rashid a

Aug 11, 2022

By Aysan K

Jul 22, 2022

By shani d s

Aug 17, 2022

By Robin G

Jun 27, 2022

By Hala S

Aug 21, 2022

By Navin N

Aug 3, 2022

By Bruno R S

Jul 30, 2022

By Navidreza G

Aug 21, 2022

By Muhammad H

Aug 9, 2022

By Alokkumar B

Sep 27, 2022

By Md S I

Jul 10, 2022

By Mohammad A S

Aug 29, 2022

By David G

Jul 30, 2022

By Barry d T

Jul 10, 2022

By assia y

Oct 2, 2022

By Mohamed C

Sep 13, 2022

By Hania E

Aug 31, 2022