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
31,429 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

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

KB

Dec 6, 2024

I was completely new to Machine learning. It is an excellent course for complete beginners. Python codes are also downloadable and can be used for further reading another time. Very Very nice course!

Filter by:

5276 - 5300 of 5,952 Reviews for Supervised Machine Learning: Regression and Classification

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

By Tú A L

•

Jan 17, 2025

good

By Nnaattaaa

•

Jan 8, 2025

good

By Saurabh S

•

Jan 5, 2025

Best

By The M

•

Dec 28, 2024

good

By Manik H

•

Dec 7, 2024

nice

By SANDEEP S

•

Nov 29, 2024

good

By Buğrahan A

•

Nov 28, 2024

nice

By Sepehr S

•

Nov 23, 2024

good

By Zona D

•

Nov 21, 2024

nice

By Раматуллаев И А

•

Nov 13, 2024

good

By Mahek

•

Nov 12, 2024

Good

By Shahad D R A

•

Nov 10, 2024

good

By Aditi P

•

Nov 9, 2024

good

By Hepprajith P

•

Nov 9, 2024

good

By Aryan G

•

Nov 8, 2024

good

By Omar k

•

Nov 5, 2024

good