Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
28,386 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...
...

Top reviews

AD

Nov 24, 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.

ED

Apr 14, 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!!

Filter by:

2176 - 2200 of 5,429 Reviews for Supervised Machine Learning: Regression and Classification

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 6, 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.

By 24AIBEA154_ABDULLAH_ZAIDI

Sep 10, 2022

Loved the course and specially those optional lab and Andre Ng teaches very good.

By Dhurika V

Sep 3, 2022

omo!!

this is the best course for machine learning..Thank you Thank you I mean it!!

By Nitesh A

Aug 28, 2022

This course really helped me to understand machine learning concepts from scratch.

By Nicky R

Nov 11, 2024

Excellent Course by the best of the Best. I wish Andrew Ng was always my Teacher!

By Sadegh M A

Oct 25, 2024

Very comprehensive and practical. Try to learn vectorization well. Thanks Andrew!

By Jade

Oct 14, 2024

It was a detailed explanation by Andrew Ng, and kudos to all who made it possible

By Shahzaib K

Sep 29, 2024

Although it is a beginner-level course, it gives you confidence and improves you.

By Rohan S P

Sep 20, 2024

Very informative! May take time to grasp but when it links, it becomes super fun!

By Sal T

Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

By Abhinav S

Feb 14, 2024

This course is great for beginners. It is the best course that you can follow....

By Gerry M

Jan 8, 2024

A terrific introduction to linear and logistic regression using machine learning.

By Shailendra M

Sep 18, 2023

Superb content, the greatest teacher, and excellent revisions. Thoroughly enjoyed

By Gwri P

Aug 11, 2023

Andrew does a fantastic job of explaining the concepts and math. Time well spent.

By Isoon A

May 6, 2023

This course is definitely the best ML course to start with. Andrew Ng is awesome!

By Geetha R

Mar 10, 2023

Andrew Ng is a great instructor! Thank you very much for offering this course....

By Greg D

Oct 3, 2022

Gets you up and running in linear and logistic regression quick and seamlessley.

By Sajjad A T V 4 B C E

Sep 20, 2022

Excellent session. Well organised for easy understanding and practicing problems.