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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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2076 - 2100 of 5,760 Reviews for Supervised Machine Learning: Regression and Classification

By Farzaan D

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Jul 31, 2024

Good course some aspects about logistic and regularization can be explained in an easier way

By Gustavo M

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May 22, 2024

Thanks, Andrew Ng and Team for this course, it's very very interesting that blew up my mind.

By Prajwal G

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Apr 1, 2024

Tough mathematical equations are taught in most simple and elegant manner. Really impressed!

By Elio D

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Dec 10, 2023

Excelente Profesor, y todo la plataforma. Es muy amigable y facilita el aprendizaje. Gracias

By swarup s

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Sep 21, 2023

Mind blowing course! Its a must for everyone seeking ML as a career! Can't express in words!

By Carl H

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Jul 27, 2023

Beautiful logical progression. Explained clearly and just at the right pace for absorption.

By omid e

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Jul 26, 2023

very good course to start learning and educating yourself about machine learning algorithms.

By Lidia S E

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Jul 26, 2023

Very good course! Well explained and full of coding examples. It does really help. Thank you

By Christian M F A

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Jul 13, 2023

Absolutely amazing course, Dr. Andrew Ng could be one of the best teachers I have ever mate.

By Faramarz K

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May 3, 2023

The course was great and covers all basic topics you need for understanding machine learning

By Kamyar A

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Dec 14, 2022

Great Course for beginners with no previous knowledge in ML and little proficiency in Python

By Ali A

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Aug 16, 2022

Great course, though it is basic but it builds a very good foundation for future advanced ML

By Arslan A

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Jul 21, 2022

Very nice and detailed course to learn how machine learning algorithms work with mathematics

By Suresh G

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Aug 16, 2025

Very good introduction and explanation of cost functions for Linear and Logistic Regression

By Ramu B

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Jul 2, 2025

It was an amazing month-long journey with Andrew Ng. Those optional labs were instrumental.

By Leonardo K M

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May 21, 2025

It just made it possible to develop my undergraduate thesis, without it, I'd never done it.

By Sebastian T

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May 20, 2025

I came to a great understanding of Machine Learning Concepts on a fundamental Level. 10/10!

By MOHAMMAD T K

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Apr 3, 2025

I recommend this course to everyone interested in understanding how machine learning works.

By Jason M

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Sep 26, 2024

Andrew is a gifted teacher, on top of being a brilliant student himself. Excellent course!

By Sanjib S

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May 19, 2024

Clear explanation, excellent labs for learning, nice question and answers and good learning

By Davide P

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Apr 11, 2024

Excellent introduction to the fundamentals of ML, simple to follow and clear to understand.

By Mohammad T K

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Apr 5, 2024

It was super interactive and there is no way anyone can finish the course without learning.

By Fabricio L

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Feb 27, 2024

INCREÍBLEEEEE CURSOOOO. I love you Andrew, you are and incredible teacher and a genious. :D

By Sana U

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Dec 23, 2023

This course is very helpful for me, I learned a lot of from this and experienced in python.