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
27,885 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

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:

2051 - 2075 of 5,339 Reviews for Supervised Machine Learning: Regression and Classification

By GYAN R

•

Apr 23, 2023

it's one of the best course to learn and it is very convenient with the python language

By Yunwei C

•

Jan 16, 2023

Great course! I've learned so much from both the lecture and the coding lab! Thank you!

By Manoj K

•

Dec 6, 2022

Excellent course to learned detailed concepts of Supervised Machine Learning. Thank you

By Francis G

•

Sep 15, 2022

Great course and great content. Took other courses before and this is by far the best.

By Jose M

•

Aug 6, 2022

Great update to the original Machine Learning course. Practice labs were very helpful.

By Lucirie

•

Mar 28, 2025

I just got my certificate, and this is one of the best introductions to ML out there!!

By Eli M

•

Feb 23, 2025

What a time to be alive - such high-quality course content at such a reasonable price.

By Ömer t Ö

•

Feb 16, 2025

Pretty neat course. Only weak part is the coding practices were a little insufficient.

By Mario D C

•

Dec 31, 2024

Amazing! I learned so much! This course is beginner friendly and Andrew explains well.

By Luis C O R

•

Nov 16, 2024

I'm doing a bachelor's degree in bioinformatics, and I found this course very helpful.

By Nutty C

•

Oct 4, 2024

Amazing Class really can get into the program feeling like you have learned something~

By Shubham N

•

Jul 27, 2024

Excellent methods used to bring a complete novice to speed on the complex ML concepts.

By Hardik L

•

Jun 10, 2024

Brilliantly taught each concept with complete clarity , loved to learn from Andrew Sir

By Sneha A K

•

May 26, 2024

Classes were brilliant. Especially the practice sessions. Each idea was clear for me.

By Yakov K

•

May 19, 2024

Amazing quality and clarity and selection of materials and examples. Truly insightful!

By Philip S

•

May 27, 2023

Very very good course . I covers the basics of regression and classification very well

By Valentin B

•

Apr 9, 2023

Amazing course and teacher, even the math didn't seem as hard with Andrew teaching it!

By osama m

•

Mar 19, 2023

Very understandable, Very Valuable course, Really gained rich knowledge.. Thank you :)

By Vinicius G

•

Jan 13, 2023

Exceptional course, the professor didactics are awesome. I really enjoyed the content.

By Sohan L Y

•

Dec 27, 2022

full of knowledge and best way to clear the topics properly from basic to intermediate

By Chumpol_th

•

Nov 17, 2022

I like to studied to this course the instructor can make difficult things very easy.

By amir t

•

Oct 31, 2022

well, the videos were phenomenal but i think jupyter notebooks needed their own videos

By Shivam M

•

Sep 16, 2022

Well made course, easy to understand and explained mathematics behind each algorithm.

By Chapparam s b

•

Sep 4, 2022

This course is good but instead of more optional class please keep lot of assignments

By Gokul V

•

Aug 8, 2022

Excellent teaching and i am able to get deeper side of fundamental of Machine learning