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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
28,030 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e 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 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.

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!!

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2451 - 2475 of 5,358 Reviews for Supervised Machine Learning: Regression and Classification

By Quy H

鈥�

Jun 26, 2022

Nicely instruction from Andrew Ng about regression and classification

By Rithwik Y

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Mar 6, 2025

Best course for beginners. The structure of this course is just馃馃徎鉁�

By Josu茅 M

鈥�

Dec 20, 2024

Muito bem explicado, com paci锚ncia e excelente profundidade t茅cnica.

By Robert W

鈥�

Sep 16, 2024

Thanks Andrew. Excellent balance between practical and theoretical.

By Anvesha C

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Jun 24, 2024

hands on experience with machine learning. really good for beginners

By Chandisha D

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May 6, 2024

Well explained in easy way and no hustling. learning at my own pace.

By Anna N

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Apr 4, 2024

Perfect course! Andrew is fantastic and calming, loved every moment!

By Dayra A E C

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Jan 13, 2024

A very well structured course, also Andrew is very good at teaching.

By Pranav K

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Jan 12, 2024

This is very much designed for beginners like me. I love this course

By Roy S

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Oct 31, 2023

really fun and interesting course, Andrew was a really good teacher!

By ho脿ng v

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Oct 6, 2023

It is a really good, practical and useful course i have ever joined.

By Tyler C

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Aug 9, 2023

I truly enjoyed the level of math that was provided with the theory.

By Vijay K B

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Aug 6, 2023

It was a great journey and happy to say that this deserves a 5 star

By Martin J

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Jul 10, 2023

super informative and presented in concise and progressive lessions.

By Miraj D B

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May 21, 2023

a perfect course for machine learning if u want to be data scientist

By Antonio t

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May 11, 2023

I would like to have more options to understand the maths behind all

By Varun A

鈥�

May 10, 2023

A great introduction to Machine Learning concepts. Easily explained.

By Naveen V

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Mar 13, 2023

Informative course with Good explanation by Andrew NG sir. Thank you

By Marzieh M

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Feb 23, 2023

This course was really useful to me. Thanks a lot for financial aid.

By James W

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Feb 10, 2023

Great Introduction to ML. Looking forward to the rest of the course.

By Luu C T

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Jan 28, 2023

Good example, I think it's hard but the course make me surprise :333

By Sreejith K S

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Sep 20, 2022

Brilliant. Exceptional. Don't even think twice. Andrew NG is a God.

By caleb l

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Sep 19, 2022

novel way to explain ML in all well designed, structured materials.

By ZABEEB A

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Aug 2, 2022

What a smooth way of teaching . loved it at every step of learning .

By Val A B

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Jun 22, 2022

Lectures were simple and the math can be easily translated to code.