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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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5126 - 5150 of 5,338 Reviews for Supervised Machine Learning: Regression and Classification

By V

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Jul 1, 2022

More graded lab sessions could be included. Good course.

By Omkar D

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Jul 20, 2024

requires more practice lab, content is great thank you

By Moisés M B R R

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Oct 25, 2022

Great for those looking to get into Machine Learning.

By Mahesh R

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Jan 3, 2025

It was super , but i think i need even more practice

By Mubbara M

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Dec 5, 2024

This course is good for developing your basics in ML.

By Holmes

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Jul 3, 2023

A little bit overwhelming in the last lab. I love it.

By Janardhan P

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Mar 9, 2024

Good explanation. ButI expected more deep knowledge.

By Tobias H

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Jan 29, 2023

Very rough overview. But good entrance level lecture

By Francisco A S

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Sep 30, 2022

Lacks coding , but its very nice in terms of theory

By Jeyanth (

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Aug 5, 2022

the coding part could have been explained in detail.

By Aniruddh L

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Jul 12, 2022

Graded Assignments were slightly on the easier side.

By Jayanth S

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Aug 8, 2024

Helps to understand the intuition behind the model.

By RAHUL V

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Nov 30, 2023

Its a great start in the field of Machine Learning

By Aadya G

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Nov 21, 2023

videos explaining the final code would be helpful

By Konouz A

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Aug 5, 2023

really great, i wish tho there was more on coding

By Devender S

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Jul 30, 2022

A well designed course to learn Machine Learning.

By Ran S

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Jan 4, 2025

Detail and helpful with understanding the theory

By Jerry Y

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Jul 14, 2023

Could have given vide walkthrough for the coding

By Ali F

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Jun 5, 2023

A beginner level course. Great foundation topics

By Tom P

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Aug 23, 2022

Would be nice to have more rigorous mathematics

By Lucky V

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Dec 29, 2024

this course is superb, especially for beginners

By LAVANYA D (

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Feb 5, 2024

Interesting course with interactive assignments

By Chris O

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Oct 7, 2023

Really enlightening and helpful. Very educative

By Samir A

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Aug 12, 2023

Best Machine Learning course for the beginner .

By Riccardo D

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Nov 8, 2022

Graded exercises should in my opinion be harder