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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
27,974 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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4251 - 4275 of 5,353 Reviews for Supervised Machine Learning: Regression and Classification

By Mohammadreza J J

鈥�

Jul 15, 2023

I'm so excited

By saparapu r

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Jul 5, 2023

corse was good

By V农 H

鈥�

Jun 26, 2023

Excellent!!!!!

By SUBRATA M

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Jun 25, 2023

very very good

By Satish s M

鈥�

Jun 16, 2023

very effective

By legendsof c

鈥�

Jun 12, 2023

Very helpful 鈾�

By Deleted A

鈥�

May 31, 2023

awesome course

By Aisha A

鈥�

May 29, 2023

Amazing course

By Prasanth K A S

鈥�

May 8, 2023

awesome course

By George F

鈥�

May 8, 2023

thank u Andrew

By Yvan P

鈥�

Apr 17, 2023

the best intro

By anna k

鈥�

Feb 16, 2023

Great content!

By Adil M

鈥�

Feb 1, 2023

Very elaborate

By Ansh P

鈥�

Jan 22, 2023

Amazing for me

By Nimish S

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Jan 2, 2023

Amazing Course

By Ahmed N

鈥�

Dec 30, 2022

very very good

By Adam M

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Dec 12, 2022

Awesome course

By Amirhossein S

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Nov 29, 2022

Awesome Course

By Ahmed S

鈥�

Nov 18, 2022

very goooooood

By Umit B

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Nov 8, 2022

great job dude

By 鏉嶻aki

鈥�

Oct 22, 2022

clearly stated

By Jos茅 B P

鈥�

Oct 14, 2022

Just perfect!

By Stefano S

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Sep 30, 2022

Great Andrew!

By Larry_Liu

鈥�

Sep 28, 2022

Great Content!

By Shan H

鈥�

Sep 22, 2022

Great Course!