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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
28,863 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 13, 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!!

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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3226 - 3250 of 5,490 Reviews for Supervised Machine Learning: Regression and Classification

By Imran k

•

Feb 24, 2023

One of the best online learning experiences!

By 艾昊（AisingioroHao）

•

Jan 29, 2023

Very friendly for machine learning beginners

By Michael A

•

Dec 5, 2022

Very good quality, world class explanations.

By Tanmay G

•

Dec 1, 2022

Great Content! Sincere Thanks Andrew Ng Sir!

By Abu B

•

Oct 28, 2022

The course is amazing. Thank you Andrew NG.

By FU D

•

Oct 20, 2022

Excellent courses! just can't stop learning.

By Martin M

•

Sep 9, 2022

Very good introduction to machine learning!

By Ajay S

•

Sep 6, 2022

Good Course Content.. Excellently Designed.

By Kamal K

•

Sep 5, 2022

I was expecting more rigorous practice labs.

By pritam s

•

Sep 5, 2022

great course for basics of machine learning

By Heet P

•

Aug 18, 2022

this is awesome!!!! more power to andrew sir

By Robert K

•

Aug 8, 2022

Excellent detailled explanations. Well done.

By Ajit N

•

Aug 6, 2022

ample amount of knowledge got for the course

By KOLA.VENKATA.SAI.PUTRAYYA K

•

Apr 4, 2025

as a beginner i really enjoyed this course.

By SAYAM P

•

Mar 3, 2025

Wow such clear explanations really loved it

By Zmumu

•

Feb 1, 2025

One of the best courses I've ever attended.

By Abu M R 2

•

Dec 12, 2024

One of the best course in machine learning.

By Sumitra D

•

Sep 28, 2024

Happy to learn more about this opportunity.

By Brian C

•

Sep 26, 2024

Excellent class, very thorough and complete

By MAURICIO O Q

•

Sep 8, 2024

Nice course, its really powerfull knowledge

By Vicki A

•

Sep 4, 2024

This course is exceptionally well designed!

By Keerthana S A

•

Aug 25, 2024

Very detailed course and easy to understand

By Mark R N

•

Apr 4, 2024

Excellent introduction to machine learning.

By Ali A N

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Mar 30, 2024

you could add more data science stuff to it