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
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...
...

Top reviews

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!!

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.

Filter by:

5426 - 5450 of 5,570 Reviews for Supervised Machine Learning: Regression and Classification

By Thiện N

•

Sep 16, 2022

Good knowledge

By Madhul K

•

Aug 8, 2022

Great learning

By Somtirtha D

•

Jan 10, 2024

Great course.

By Juan E

•

Jul 29, 2023

g,mbvscMbn<MA

By Madan

•

Aug 14, 2023

Great course

By Echekwu E

•

Aug 7, 2022

Fundalmental

By Vishal B

•

Nov 10, 2023

nice course

By Veerendra P

•

Sep 17, 2023

NIce Course

By Kevin S

•

Jun 25, 2024

Fast paced

By Salahuddin S

•

Jan 26, 2024

it is good

By Haseeb A

•

Jul 1, 2025

Fantastic

By 22501A4452 P P R

•

Jul 27, 2024

Very good

By luficerg f

•

Jun 5, 2023

Very good

By Nikhil N M

•

Aug 16, 2022

Very Nice

By Aki

•

Aug 12, 2022

Very good

By Aman Y

•

Oct 26, 2023

Nice!

By Rutuja S

•

Apr 5, 2025

Good

By JANAPATI G 2 B

•

Mar 15, 2025

good

By Pokemon G

•

Jan 30, 2025

Good

By Anshika S

•

Nov 19, 2024

nice

By adarsh v

•

Nov 17, 2024

good

By Mohammed S S

•

Nov 9, 2024

Good

By ahmed a

•

Oct 19, 2024

good

By Elza G

•

Oct 2, 2024

good

By Akshay P

•

Sep 29, 2024

good