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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
27,853 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!!

FA

May 25, 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.

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3026 - 3050 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Chintan S

•

Nov 20, 2024

Great Course..Thanks for building this material

By Janick Z

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Nov 19, 2024

Andrew Ng - the best professor I have ever had!

By Mohammed A

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Nov 8, 2024

thanks really for supporting me in this course.

By ganesh s

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Oct 3, 2024

Best way to begin your Machine Learning career.

By Faiq E

•

Aug 10, 2024

en son notu alamiyorum yardiminiza ihdiyacm var

By TRAN D T

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Jul 30, 2024

Really necessary for me to achieve other course

By Muzammil M S

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Jul 21, 2024

A proper explanation of machine learning stuff.

By michele m s

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Jul 18, 2024

Muy buena explicación y laboratorios muy útiles

By Anubhav B

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Jul 16, 2024

great decision to go through this entire course

By Aman K

•

Jun 16, 2024

Very effective to understand fundamentals of ML

By Bhawesh S

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Apr 20, 2024

Got all the clarity for the supervised ML algo.

By ANUJ Y

•

Apr 18, 2024

Nice, just keep it up we need more such courses

By Yash M

•

Mar 28, 2024

the course was very good and easy to understand

By Darshankumar P

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Jan 9, 2024

Awesome learning...Thank you so much professor.

By Itaypiz71 P

•

Nov 5, 2023

great course, solid foundation, simple to learn

By Gabriel G

•

Sep 3, 2023

Muy bien explicados los conceptos matemáticos!!

By Sean H

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Aug 22, 2023

Provides a great foundation on Machine Learning

By Nate P

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Aug 4, 2023

A super good introduction to ML and regression!

By CARLOS J C M

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Jul 1, 2023

This course give you a good introduction to ML.

By Varun D

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Jun 29, 2023

Thank you so much for this amazing resource! :)

By Amro M

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Apr 29, 2023

Excellent, amazing instructor. I learned a lot

By Mirco R

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Apr 1, 2023

Great instructor and content. Can recommend 5/5

By Fadel M

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Mar 6, 2023

Top-level explanation (theoretical and applied)

By Zainab O

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Feb 20, 2023

Thank you very much! I have enjoyed this course

By Mohamed S

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Feb 19, 2023

Amazing Course! I really enjoyed it. Thank you.