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

4.9
stars
29,315 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 h...
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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!!

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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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2201 - 2225 of 5,570 Reviews for Supervised Machine Learning: Regression and Classification

By George D

Aug 7, 2023

Andrew Ng is a phenomenal teacher and made this course very enjoyable and valuable.

By Mehis P

Jul 23, 2023

Wonderful introduction to machine learning. And the final test lab is quite tricky!

By Mohammadreza H

Oct 29, 2022

Fantastic, this is just the right course for diving into the machine learning area.

By Amit S

Sep 18, 2022

Amazingly structured course. Optimum theories and practice exercises are included.

By Rita B V

Sep 15, 2022

I am a biologist, and mathematics is difficult, but really understable. Thank you.

By Soham M

Sep 12, 2022

im sooo happy and i feel so accomplished, although i have much more distance to go

By Meet S

Dec 18, 2024

Smooth Delivery by Andrew, Interesting assignments and very helpful optional labs.

By Sahil P

Dec 9, 2024

it was a perfect to the point course I learned a lot from this course thanks a lot

By Ricardo I l D

Aug 16, 2024

Excellent material, and goes through different knowledge and specialization levels

By Goutam M

Jun 19, 2024

This Course was Excellent for someone just entering the world of Machine Learning.

By Achal A

Apr 26, 2024

Very Informative and good teaching. Wish the coding assignments were a bit harder.

By Thulina W

Mar 31, 2024

Helps to understand the fundamentals of ML algorithms by coding them from scratch.

By Ramiro L C

Mar 1, 2024

The course was great, I'm going to watch it more than once to understand it deeply

By Rüstəm A

Feb 19, 2024

It was an amazing course. Really helpful, explanations were really clear and vivid

By Santiago P

Feb 12, 2024

Amazing contents. AI Foundations well explained. Andrew and his team are the best.

By Fowzaan A R R

Sep 28, 2023

Great course for beginners and for those who want a brief overview of what ML is .

By Danus D

Aug 28, 2023

The course is really very useful!. The labs are very efficient source to practice.

By Lekha M

Aug 1, 2023

Amazing course by Andrew Ng and team. The visuals in this course are mind blowing.

By Lingyi Y

Jul 28, 2023

Classic course for the topic - in-depth explanation and good visual interpretation

By Bikram k

Jun 5, 2023

It was great course for beginners who are enthusiastic to learn Machine Learning .

By M1 H

Jun 2, 2023

It's so good for every beginner in machine learning.

easy to understand and follow.

By François R C S

May 14, 2023

Excellent course, even more so under the light of mathematics learned decades ago.

By brsabini g

May 6, 2023

Highly recommended.

Basic knowledge in statistics and Python programming is helpful

By Lakshminarayanan

Mar 20, 2023

Very methodical and insightful, love the way it has been structured and explained.

By Lydia P

Oct 31, 2022

So well explained. As complicated as the topic seems, the instructor made it easy.