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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: ? 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

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.

DB

May 31, 2024

Great intro to supervised learning (regression & classification). Clear explanation of sigmoid function and decision thresholds. Could benefit from examples & exploring non-linear boundaries.

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3551 - 3575 of 5,846 Reviews for Supervised Machine Learning: Regression and Classification

By Fernando Q P

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Aug 20, 2022

It's a great course, thank you very much

By 20R11A0567 B S R

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Aug 14, 2022

Excellent Course!! Amazing Instructor!!

By rahul m

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Aug 14, 2022

Very good course and easy to understand.

By Naoufal H

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Jul 26, 2022

i really like it, simpile and very handy

By 马家轩

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Jul 17, 2022

goooood！It is very friendly to the newer

By Harshil S

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Jun 30, 2022

Course content is perfect for beginners.

By Gazi M

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Oct 8, 2025

I enjoyed a lot throughout this course.

By Sohan K

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Aug 11, 2025

outstanding course for machine learning

By Bilal M

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Jul 27, 2025

very well designed and easy to consume!

By Aqsa Z

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Jul 11, 2025

I love Andrew Ng, best instructor ever.

By Uddandarao P

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Jun 22, 2025

Worthy and helpful for my career growth

By Harikesh R M

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Feb 20, 2025

Helped me alot to understand the basics

By ?lvaro J P A

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Feb 7, 2025

Andew ng makes it easier to understand.

By Hussein

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Feb 5, 2025

i have learned so much from this course

By Shyanil M

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Nov 9, 2024

Just one line What a course on internet

By Ankith K A

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Nov 3, 2024

It was very well thought with good labs

By Noumbissi S

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Jul 17, 2024

Awesome course, clear and comprehensive

By Zobair H

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Jan 5, 2024

A good source to learn machine learning

By Or S

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Nov 27, 2023

Great basic course, a great instructor!

By Ange-morija K

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Sep 24, 2023

Cours vraiment excellent, je recommande

By alireza m

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Sep 14, 2023

It is the best course i have ever seen.

By Mai H A

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May 5, 2023

it is so helpful for me. Thanks a lot!!

By Aseem S

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Apr 10, 2023

THANKS FOR YOUR GUIDANCE! BEST COURSE!!

By mahmoud a

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Apr 8, 2023

veru excellent course .thanks very much

By Shahid H

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Apr 5, 2023

Best course i've ever studied regard ML