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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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5326 - 5338 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By Hossein T

•

Oct 14, 2024

Lets be honest this course is basic and depend on your free time you can finish this course in less than a week !

By Samantha C

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Jun 27, 2024

They don't provide slides, so there's not way to take notes or go back and reference material.

By John J C E

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Aug 12, 2024

too many failures and lack of troubleshooting support in the labs

By Reza Z

•

Jan 9, 2025

You'd better make a course on how you spread covid in the world

By Emek T

•

Jul 5, 2024

Too much math, not enough practical code examples

By Paniz

•

Dec 31, 2024

unusable. the course audio does not work .

By Amod U M

•

Jan 19, 2025

The coding part has no correct guidance.

By jared m

•

Oct 30, 2024

wont let me unenroll so you get a 1

By nouhaila a

•

May 1, 2024

I can't see my certification

By Abdullah A

•

Aug 15, 2024

Jupyter Lab doesn't work.

By Johannes K

•

Sep 24, 2024

GARBAGE

By Ma'murjon N

•

Mar 27, 2025

bad