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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
32,084 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

DB

May 30, 2024

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

AA

Apr 29, 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.

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2951 - 2975 of 6,053 Reviews for Supervised Machine Learning: Regression and Classification

By AS

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Sep 21, 2023

Excellent explanation with visual aids which really helped.

By Anastasiia V

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Aug 28, 2023

Very good explanation, everything is clear and interesting!

By Engr T A

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Jul 18, 2023

excellent way of explanation and arrangement course content

By Yusuf Y

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Jul 15, 2023

I think it is the one of the best courses I have ever taken

By Hapurugala G R A

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Jul 14, 2023

Very informative and interesting course in machine learning

By Abdullah K

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Jul 1, 2023

Excellent course for beginners and advanced learners alike!

By Diego B

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Jun 28, 2023

It was an extremely well-designed and comprehensive course!

By Rohith P

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Jun 19, 2023

Very good start in Machine Learning ....Thank you Andrew Ng

By yasiru n

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Mar 15, 2023

This course is very help full to begin to machine learning.

By Christofer O

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Jan 19, 2023

Best introduction courses to comprehend machine learning :)

By Tomasz P

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Nov 22, 2022

Great course overall, I couldn't recommend it highly enough

By Manibhushan K (

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Nov 18, 2022

This course have helped me to understand ml in vey easy way

By Parth K

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Aug 31, 2022

It is very good cource for Beginners. Thanks Andrew Ng sir

By EARLE F

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Nov 17, 2025

Course was great info. Juypter labs was good hands on too.

By Mark T

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Sep 13, 2025

The instruction is very sublime. Thank you Andrew and team

By John D

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Aug 20, 2025

The class was taught well in a patient and thoughtful way.

By Utkarsh P

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Dec 11, 2024

Awesome course ! I loved the way how Sir Andrew taught us.

By Camila G

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Oct 27, 2024

Excelent course, I would maybe do quizes more complicated.

By Zaka S

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Sep 24, 2024

Very explanatory course, both in programming and math side

By Yasin B K

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Aug 11, 2024

Teaches us what we need to learn, neither more nor less :)

By Shambhu N 3

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Jun 11, 2024

this world's best course of action , I learn so much thing

By Nastaran p

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May 24, 2024

This course was perfect. The instructor teaches perfectly.

By Barry G

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Dec 8, 2023

Really well organised course. Superb learning opportunity.

By Montasir M

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Dec 6, 2023

Learned a lot of things from this well structured course.

By David H

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Nov 4, 2023

Excellent course. It helps me understand Machine Learning.