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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

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.

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.

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1801 - 1825 of 5,760 Reviews for Supervised Machine Learning: Regression and Classification

By Gina

•

Aug 1, 2022

A great course to start your journey into the fields of  Machine Learning. Andrew Ng is the best ML teacher.

By Jesus A H M

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Sep 26, 2025

Muy bien explicado, llegue con cero conocimiento y salgo con capacidades para enfrentarme a conceptos de ML

By Jordi E G

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Jan 14, 2025

Good explanations, use cases and practice labs make stepping into ML and AI with this course very enjoyable

By Ankit G

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Dec 27, 2024

AAAAAAAAAAAAWWWWWWWESSSSSSSSSSSSSSOOOOOOOOOOOOOOOOOMMMMMMMMMMMMMMMMMMMMMMMMEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE

By Tejesh N

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Aug 2, 2024

damn ! This course was easy to understand and have more practical experiment with easy to access learnings.

By Arvin B

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Jan 29, 2024

Exceptionally good! Simple visuals, easy to understand explanations with the best part is the hands on labs

By om s s

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Dec 29, 2023

The course covers all the basic concepts to get started with Machine learning and Artificial intelligence !

By Vincent L

•

Dec 7, 2023

Nice course presenting all the basic principles needed to understand and use regression and classification!

By Vincent D

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Sep 4, 2023

The course was very well organized. I felt that it was optimized for people at all levels! Keep shining!!!

By Gursimer K

•

Jul 30, 2023

Wonderful! course this is what effort is i really understood each and every topic and I rate this course5/5

By 刘昱祺

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Jun 5, 2023

It is more than classic and interesting.It is my sincere hope that I could be NG's student offline one day.

By Begoña V

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Dec 2, 2022

Excellent instruction, explanation and materials. I especially loved the optional labs and the assignments.

By Gantumur B

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Jul 14, 2025

It was a great intro course to machine learning. Loved the examples, practices, and exercises of the Labs.

By Muhammad A

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Feb 4, 2025

Learning experience at Coursera has been an amazing journey with talented mentors, particularly Andrew NG.

By Jonathan D

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Sep 13, 2024

Thorough coverage of the topic and very well presented by the engaging and highly knowledgeable Andrew Ng.

By Jose L B F

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Feb 8, 2024

I 'm very happy for the opportunity to have learned this course. Thank you very much for all the learning.

By Aman D

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Feb 4, 2024

Really helpful for starting machine learning, useful guidance along with practical labs just after theory.

By Andy W

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Nov 19, 2023

Great lectures and relevant coding lab assignments. They effectively teach the concepts of supervised ML.

By wilson f s

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Oct 14, 2023

Es un curso didáctico, que explica con suficiencia los retos de la regresión y clasificación. Recomendado.

By Anshuman A

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Sep 9, 2023

Very nice and useful course. Made learning very easy and I hope to use this course ahead in my future too.

By mohammadreza p

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Jul 31, 2023

it was really helpful and taught me ML from scratch.

great thanks to everybody associated with this course

By Anurup G

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Jul 21, 2023

It was such a slow gradual way of building up to tough concepts. I never felt the burden but learnt a lot.

By Aman S

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Jul 7, 2023

It would be better if we had some python tutorial in starting of course.

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By Sayed G

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Jun 24, 2023

Very powerful course to get start in practice with ML..

Learned a lot and have funny time with Dr.Andrew :)

By Rubén G

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Mar 18, 2023

Thank you very much to all of you from the bottom of my heart!

This was the best course I ever had, by far.