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
27,808 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 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!!

FA

May 24, 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.

Filter by:

4626 - 4650 of 5,327 Reviews for Supervised Machine Learning: Regression and Classification

By Hridoy D M

•

Sep 26, 2024

Helpful

By Emmanuel T

•

Aug 25, 2024

Amazing

By Farzaneh J (

•

Aug 23, 2024

Awesome

By Robert G

•

Aug 8, 2024

perfect

By Gyanendra Y

•

Aug 3, 2024

Awesome

By Siddhant B

•

Jul 9, 2024

Amazing

By Hesam A

•

Jul 8, 2024

perfect

By Sachin T

•

Jun 21, 2024

Awesome

By Wesley S

•

May 31, 2024

amazing

By Aiffa A

•

May 24, 2024

love it

By Muhammad K I

•

Apr 15, 2024

awesome

By 周亿涵

•

Apr 1, 2024

perfect

By Manas M

•

Mar 26, 2024

Amazing

By Soham G

•

Feb 16, 2024

Amazing

By Hipotenus

•

Feb 16, 2024

awesome

By Dominic H

•

Feb 1, 2024

so good

By Karan J

•

Jan 12, 2024

Amazing

By Nuoyue X

•

Jan 5, 2024

awesome

By Huzaifa B H

•

Jan 4, 2024

Amazing

By Mohammad A

•

Dec 24, 2023

best ml

By Emad E

•

Dec 8, 2023

Amazing

By Aditya C

•

Oct 15, 2023

Awesome

By Keyvan R

•

Oct 12, 2023

perfect

By Nadhem B

•

Sep 27, 2023

perfect

By Anas I E

•

Sep 9, 2023

Perfect