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
30,757 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!!

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

Filter by:

3201 - 3225 of 5,825 Reviews for Supervised Machine Learning: Regression and Classification

By Satish N

•

May 21, 2023

excellent course to grasp the basic fundamentals.

By hello

•

Apr 20, 2023

The best course about Machine Learning for newbie

By Falak S

•

Apr 6, 2023

Awesome Course for beginners for Machine learning

By Abderrahim

•

Mar 5, 2023

What an amazing learning journey. Thanks Andrew !

By Jesutomisin A

•

Feb 7, 2023

Excellent course and commendable teaching method!

By ขวกร เ

•

Jan 15, 2023

Really good for learning root of machine learning

By University G

•

Jan 6, 2023

This course is very informative and well designed

By Uilian R F S

•

Jan 4, 2023

Great content, clear, concise and easy to follow.

By Prasanna V

•

Dec 13, 2022

Very good course to built and revise basics of ML

By Narmin M

•

Nov 5, 2022

very helpful, both from practical and theoretical

By Abdul R

•

Oct 30, 2022

Excellent build up of Machine Learning Concepts.

By Akash S

•

Oct 14, 2022

Very Good course for Machine Learning aspirants.

By Vivek U S D

•

Oct 6, 2022

A must to do course to begin in machine learning

By Rudy N

•

Sep 19, 2022

Thank you Andrew - seriously this is so helpful!

By 김강남

•

Jul 13, 2022

Recommend to get intuition of supervised learning

By Mateus B

•

Jul 3, 2022

Excellent course, amazing didactic and material!!

By عبدالله ا

•

Oct 18, 2025

Clear methodology in explanation and deep detail

By Weebubaka

•

Jul 20, 2025

Just exceptional. I can't thank you guys enough.

By Saatwik U

•

Jun 26, 2025

Very well structured and it is super interesting

By Lucas V T

•

Jun 1, 2025

the most explained course with the best teacher!

By duc t l

•

Apr 17, 2025

easy to understand, teach the fundamentals of ML

By AAKASH P

•

Mar 29, 2025

Its really a valuable course for AIML aspirants.

By Manoj K

•

Feb 19, 2025

A clear and concise introduction to the subject.

By Răzvan E

•

Jan 28, 2025

The perfect starting point for an AI enthusiast.

By Wili A

•

Jan 21, 2025

Good course, systematic, and easy to understand.