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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
27,808 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!!

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.

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4026 - 4050 of 5,331 Reviews for Supervised Machine Learning: Regression and Classification

By Madhu O P S

•

Sep 6, 2022

I enjoyed course!!

By Vinay C

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Jul 29, 2022

Very well explain.

By Joaquin V

•

Jul 6, 2022

Easy to understand

By Leon Q

•

Jun 29, 2022

Lab is very useful

By killian p

•

Jun 22, 2022

Very well taught !

By Tuhin D

•

Mar 12, 2025

Excellent course!

By BIGYAN R

•

Mar 3, 2025

beginner friendly

By Lavanya

•

Feb 13, 2025

Excellent lecture

By Ankit D

•

Jan 27, 2025

Apt and Concise !

By Sena N E

•

Oct 26, 2024

Excellent course!

By Sachit S

•

Oct 24, 2024

Excellent course!

By Kunal M

•

Aug 4, 2024

too good to learn

By Manas D

•

Jul 8, 2024

Crisp and concise

By Safal B

•

May 14, 2024

Very great course

By Prayoga R S

•

Feb 27, 2024

Excellent course!

By Muhammed S

•

Feb 24, 2024

Thank you Andrew.

By Kunal

•

Feb 18, 2024

loved the course!

By SastryERP2022 C

•

Jan 7, 2024

Excellent Course.

By Sailesh S

•

Dec 22, 2023

Fantastic course!

By IDEKEL S

•

Nov 21, 2023

Very good course!

By Afzal H

•

Nov 5, 2023

Best for starter.

By Sadia A

•

Oct 2, 2023

Great experience!

By Morteza h

•

Sep 26, 2023

Very informative!

By Eleonora K

•

Sep 13, 2023

Very good course!

By Sanjeeda S

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Jul 13, 2023

Amazing lectures.