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

4.9
stars
28,089 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

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.

FA

May 24, 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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1851 - 1875 of 5,371 Reviews for Supervised Machine Learning: Regression and Classification

By Indula K

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Feb 12, 2023

This is a good course for learning ML with concept and theory while learning and practicing coding.

By Uttaran D

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Nov 27, 2022

Assignments could be made a little less easier. Otherwise, excellently explained by the instructor.

By Nusayba T

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Oct 9, 2022

I like that the instructor provides background on the mathematical proofs/derivation of the models

By Nitin P

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Aug 28, 2022

i am exteremly happy to take this course. this is very helpful and willing to continue more courses

By Yihalem Y T

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Jul 21, 2022

Very intuative and engagive course. This coures fortify my understing of machine lerning algorithm.

By Rahul P

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Jul 3, 2022

very nice and biginier friendly course.pratice labs have best visulization to understand concepts.

By Rahmat H

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Nov 6, 2024

Thank you, because after completing this course my understanding of machine learning has increased

By Muhammed C Ö

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Apr 16, 2024

This was perfect experience. Thank you for teaching style, guided labs and intuition about topics.

By Sunjiv S

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Mar 1, 2024

Great course for beginners! Teaching style of Andrew is so simple and yet so effective. Thank you!

By imsuhailabass

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Feb 15, 2024

I just completed my first course from coursera. Received the certificate. Thank you team Coursera

By Krishnamurthi R

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Jan 6, 2024

kinda mathematical course but very useful while performing task thank you Andre ng for this course

By Ramy I A

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Dec 18, 2023

thank you so much for that great work, L consider this course as the best course I've ever learnt.

By DEEPANSH S

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Oct 17, 2023

This course is very interactive and explains all the basic concepts in a clear and concise manner.

By Saiphan B

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Sep 13, 2023

Very well explained course. Makes it easier to understand.

The material and content seems in place.

By Jamie K

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Nov 27, 2022

Thank you very much Dr. Andrew, you are a great instructor! Also thank you to the team at Coursera

By Павло Г

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Aug 31, 2022

Great course with tons of detailed info and explanations! Many Thanks to authors and contributors!

By Edison T

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Mar 2, 2025

Easy to follow, friendly for those who have taken calculus, linear algebra and know Python syntax

By ulka y

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Sep 25, 2024

Best course and provide data from basic to high level and make subject more interesting to study.

By Maryam M

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Jul 21, 2024

It's an excellent course designed for beginners, providing a solid foundation for AI enthusiasts!

By Loveleen

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May 18, 2024

Very student friendly course along with practical labs . Had the best online learning experience.

By Ruleon L

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Sep 8, 2023

Super accessible and clear instructions. I recommend taking him if you're into AI-related fields.

By Harsh A

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Aug 4, 2023

One of the best starting points for anyone desiring to learn Machine Learning. Truly exceptional.

By Francisco S A

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Jul 19, 2023

Great introduction to ML world, very easy to follow. The explanations and examples are good ones.

By Kevin H

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Jul 11, 2023

Great Teaching Technique !! Understood the materials very well. The optional Lab is great as well

By Ansh G

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Jun 19, 2023

it was an amazing course and i am glad to choose this course as it built a lot of knowledge to me