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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
31,037 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

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

DB

May 30, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

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2651 - 2675 of 5,901 Reviews for Supervised Machine Learning: Regression and Classification

By vivek p

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Jul 22, 2022

amazing explainatation with informative knowledge given by Andrew ng.

By Quy H

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Jun 26, 2022

Nicely instruction from Andrew Ng about regression and classification

By naveed a

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Nov 26, 2025

well designed videos, labs, shortly everything was perfect and clean

By Michael M M

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Nov 19, 2025

Muy bueno te explica desde las bases teoricas hasta la programación.

By Nikhil L

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Nov 9, 2025

Very good course. It makes learning ML so enjoyable and interesting.

By Martin P

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Oct 27, 2025

Great teacher, material easy-to-follow. Overall really good content!

By Pandurang C

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Oct 4, 2025

very interesting and deepen the understanding of supervised learning

By Rithwik Y

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Mar 6, 2025

Best course for beginners. The structure of this course is just🤌🏻✨

By Josué M

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Dec 19, 2024

Muito bem explicado, com paciência e excelente profundidade técnica.

By Robert W

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Sep 15, 2024

Thanks Andrew. Excellent balance between practical and theoretical.

By Anvesha C

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Jun 23, 2024

hands on experience with machine learning. really good for beginners

By Chandisha D

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May 6, 2024

Well explained in easy way and no hustling. learning at my own pace.

By Anna N

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Apr 3, 2024

Perfect course! Andrew is fantastic and calming, loved every moment!

By Dayra A E C

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Jan 12, 2024

A very well structured course, also Andrew is very good at teaching.

By Pranav K

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Jan 11, 2024

This is very much designed for beginners like me. I love this course

By Roy S

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Oct 31, 2023

really fun and interesting course, Andrew was a really good teacher!

By hoàng v

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Oct 6, 2023

It is a really good, practical and useful course i have ever joined.

By Tyler C

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Aug 8, 2023

I truly enjoyed the level of math that was provided with the theory.

By Vijay K B

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Aug 5, 2023

It was a great journey and happy to say that this deserves a 5 star

By Martin J

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Jul 10, 2023

super informative and presented in concise and progressive lessions.

By Miraj D B

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May 21, 2023

a perfect course for machine learning if u want to be data scientist

By Antonio T

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May 11, 2023

I would like to have more options to understand the maths behind all

By Varun A

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May 10, 2023

A great introduction to Machine Learning concepts. Easily explained.

By Naveen V

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Mar 13, 2023

Informative course with Good explanation by Andrew NG sir. Thank you

By Marzieh M

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Feb 22, 2023

This course was really useful to me. Thanks a lot for financial aid.