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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
30,409 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

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.

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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2476 - 2500 of 5,762 Reviews for Supervised Machine Learning: Regression and Classification

By ahmed m a e a

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Jul 27, 2022

That's a great course.

thanks to Andrew Ng, Deeplearning.ai, and Standford.

By MD. M I 1

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Sep 26, 2025

Very well structured and easy to understand lectures with practical labs.

By El B S E

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Sep 26, 2025

Perfect explications and simple examples made it an easy subject to study

By Dennis L

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Sep 15, 2025

Just about perfect level (for me) of theory, programming and explanation.

By ps s

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Sep 3, 2025

An excellent explanation of the basics, very much needed for ML knowledge

By Jiho K

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Jan 20, 2025

As a beginner, i can't imagine a better lecture to start with. Thank you.

By Deleted A

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Oct 13, 2024

I really like the course. Thank you Mr.Andrew for such a wonderful course

By Sandeep M

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Aug 31, 2024

Excellent coverage of essentials. Made with great care and love. Regards.

By Randy O

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Aug 23, 2024

this is a nice course that will teaches you enough in this specialization

By Desta G G

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Aug 1, 2024

Well built and organized sections. Easy to follow and intiutive contents.

By Syfur R

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Mar 7, 2024

It was an amazing experience learning the fundamentals of ML from Andrew.

By Yun X

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Dec 30, 2023

Dr Ng's ability to make difficult concepts easy to understand is amazing.

By Mohammad S

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Oct 19, 2023

Very much recommended for the beginners in the world of Machine Learning!

By Johnson c

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Aug 27, 2023

It is a great course to learn basic supervised Machine learning algorithm

By Adriana J

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Aug 14, 2023

Es un curso muy bien presnetado y explicado para comenzar con la temática

By Matthew W

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Aug 6, 2023

I love they way the math sticks because of the way the content is taught.

By Krish K

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Jul 3, 2023

Learned difficult ml concepts in easy and intuitive way. Thanks Andrew Ng

By yassine c

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Jul 1, 2023

C'était trés intéressant, parmis les meilleures cours du Machine Learning

By Aryan K

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Apr 8, 2023

This course explains basics of linear regression and logistic regression.

By Koushik M

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Mar 23, 2023

One of the best course and thank you coursera for availing financial aid.

By Dipendra T

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Mar 14, 2023

An exceptional teacher you are Mr. Andrew. Happy to be learning from you.

By Raymond W T

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Mar 5, 2023

nice. much higher production values than some of andreew's first courses.

By Lossan B

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Feb 16, 2023

Great approach in presenting the topic, very deep insight into the topic.

By BHUPENDRA K

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Feb 14, 2023

This course is really amazing and I learnt a lot while doing this course.

By Venkadasubramanian J

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Jan 26, 2023

Excellent course to understand the Machine learning Algorithms in depth!!