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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
30,836 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

MA

Jan 28, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and 糖心vlog官网观看.

AA

Apr 30, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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3601 - 3625 of 5,845 Reviews for Supervised Machine Learning: Regression and Classification

By vashu j

鈥�

Feb 10, 2024

very good if you can grab the concepts

By Viswa R

鈥�

Feb 10, 2024

Loved the course very much. Wonderful.

By Asd 4

鈥�

Feb 7, 2024

thank you Andrew Ng thank you Stanford

By Abdullah A

鈥�

Sep 10, 2023

Perfect for beginners. Great course!!!

By Varshney T

鈥�

Aug 26, 2023

best course i have ever studied from .

By Sepehr M

鈥�

Aug 16, 2023

Was a good course to start the journey

By Johanna D A

鈥�

Aug 5, 2023

excellent course, congratulations !!!!

By Bikesh S

鈥�

Aug 4, 2023

great course to start maching learning

By Subham G

鈥�

Jun 10, 2023

Very good course for Machine Learning!

By Neha D

鈥�

May 31, 2023

Very Nice course.

Highly understandable

By Yamil A

鈥�

May 19, 2023

very well content along of this course

By Pedro P H

鈥�

May 11, 2023

Very clear, step by step explanations.

By Shubham B

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Feb 6, 2023

This is exactly what I am looking for.

By Abdul Q

鈥�

Jan 30, 2023

Amazing course, Thankful to Andrew N.G

By Lyndon G

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Jan 13, 2023

Good introduction to ML for beginners!

By Padmaraju R K R

鈥�

Dec 28, 2022

One of the best course for beginners .

By Guotong

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Nov 13, 2022

great lecture. intuitive and practical

By Navas T

鈥�

Aug 19, 2022

The course is very good for beginners.

By Tebalo K

鈥�

Aug 12, 2022

The best machine learning course ever

By Alaa S A E

鈥�

Jul 15, 2022

good content and excellent instructor

By Karn T

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Jul 9, 2022

Good Course with Python Implementation

By Pouya B

鈥�

Sep 24, 2025

Speechless about this helpful course.

By Juan P M M

鈥�

Aug 6, 2025

You understand completely the theory.

By Camila N P C

鈥�

Jul 26, 2025

Excelente curso y bien explicado todo

By Fratsa I Y

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Jul 17, 2025

Really Good Teacher, Thank You Andrew