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
24,409 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

AD

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.

Filter by:

1751 - 1775 of 4,804 Reviews for Supervised Machine Learning: Regression and Classification

By Wakash

•

Sep 14, 2023

Every AI aspirant must take this course as their first step into the world of machine learning

By Ryan H

•

Jun 21, 2023

Excellent. The instruction provided and exercises were all concise but didactically effective.

By Aditya A

•

Jun 17, 2023

amazing course helped me learn regression and classification very well and cleared my concepts

By Hamza B

•

Mar 11, 2023

this course was soo good and clear and explain how machine learning works behind the scene 5/5

By MASALAWALA P N

•

Jan 13, 2023

Well-structured course. Easy to understand and outstanding assignments, lab work, and quizzes.

By Omer S

•

Nov 24, 2022

Andrew is the best lecturer I have ever encountered with.

I learned so much. highly recommended

By ehsan r

•

Oct 16, 2022

this is the best online class for machine learning with the best instructor andrew NG

THANKS

By Abhijeet m

•

Aug 20, 2022

Great way to start / dive into the world of ml and deep learning and different ml algorithms.

By Nischal G S

•

Jul 23, 2022

Great itroduction to Machine learning and Jupyter Notebook. Concepts are very well explained!

By MD N H

•

Oct 17, 2024

this course is recommended to all who are looking for an starting point for Machine learning!

By Jack (

•

Sep 22, 2024

It's a good lessons to learn the Machine Learning .Thanks to coursera and the prof Andrew Ng.

By Lonnie V

•

Aug 31, 2024

Andrew is engaging, the course notes are effective, and the Coursera application is flawless.

By Kushagra L

•

Jun 3, 2024

Excellent learning experience. All the concepts were explained in a clear and precise manner.

By CHARLA C

•

Dec 17, 2023

Andrew is an excellent Instructor! The curriculum is well designed, challenging and valuable.

By Angel S

•

Oct 11, 2023

Hacen fácil de entender lo difícil mostrando pasión, lo cual siempre he creído que es un arte

By Karan S

•

Aug 11, 2023

Awesome course! A very good start for someone just entering in the arena of Machine Learning.

By shashank11297@gmail.com

•

Jul 23, 2023

Very nice course for someone new to machine learning and wanting application-based knowledge.

By Daniil M

•

May 7, 2023

Amazing course, it helped me to recap my knowledge about classic machine learning approaches.

By sos

•

Mar 5, 2023

Impressive work please do more Standford online team exclusivley my beloved teacher Andrew NG

By TF C

•

Feb 25, 2023

A good course that is very helpful for learning the details of regression and classification.

By Suman A

•

Jan 12, 2023

Must learn this course for those who are interested in machine learning. Thank you Andrew Ng.

By Boris P

•

Dec 5, 2022

Very well explained and useful to go deep in Math and concepts behind basic Machine Learning.

By HESAM

•

Oct 9, 2022

Thanks a lot from all. I have been spent good times during learning this course. I love you.

By Farzaan D

•

Jul 31, 2024

Good course some aspects about logistic and regularization can be explained in an easier way

By Gustavo M

•

May 22, 2024

Thanks, Andrew Ng and Team for this course, it's very very interesting that blew up my mind.