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

4.9
stars
25,283 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

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

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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651 - 675 of 4,949 Reviews for Supervised Machine Learning: Regression and Classification

By Iman E

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Mar 10, 2023

This Course is the best Machine Learning Course I've ever seen. Easily Understandable topics and explanations is perfect. Thanks Coursera, Deep Learnin.AI and Specially Andrew NG for providing such enchanted source for learners.

By Sajeethan G

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Nov 14, 2022

He taught every single topic to me very clearly. Even he is explain every single mathematic formulas also. If anyone here without any knowledge of Mathematics or Statistics they also can catch up quickly with kis teaching style.

By Vivek J

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Oct 3, 2022

The course is extremely well delivered. Everything is presented and communicated such that it facilitates fast learning without causing cognitive overload. Great job by Prof Ng and all his associates who worked on this course.

By Dhanushka J

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Sep 15, 2022

Couldn't ask for a better course to get started in Machine Learning. Everyone involved should be proud for making such an accessible course, the labs are excellent, the pace is perfect. Thank you from the bottom of my heart. <3

By Nabil C

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Jun 20, 2022

The content is very well architected with math being introduced just in time. The delivery is excellent. Quizzes and labs keep you engaged and focused. This was a very pleasant journey. I am definitely going for the next course.

By Jaikumar D K

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Jul 25, 2024

This has been one of the best courses - very hands on yet very very down to earth. Andrew NG and team have done a fabulous job of making something complex into very simple, easy to understand. A big thank you to the entire team

By Nicholas S

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Jan 13, 2024

The course gives a thorough and clearly-presented introduction to linear regression and logistic regression, albeit slightly laboured for someone with existing knowledge of university-level mathematics and computer programming.

By Sanuga L

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Aug 6, 2023

This is the first I'm taking a course on coursera platform. I was able to gain strong foundation for my machine learning career through this machine learning course. Thank you very much for giving me this wonderful opportunity.

By Guru S B

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Jul 31, 2022

I was taking these courses just to review the course material, and I am impressed by how hard the instructors had worked on putting together all the course content. Kudos to the entire ML Specialization team... A big thank you!

By Ullas P

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Jun 11, 2023

The relevant concepts of Regression and Classification based ML models are explained really well. The Instructor really broke down the concepts for a digestible and effortless experience for us. Overall a well-designed course.

By Mariana Y

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Nov 22, 2022

I am a total beginner in Machine Learning and this course gave me complete understanding of the basic algorithms. Before that I'd tried to code without getting a point, however after this course it starts already to make sence

By HÆ°Æ¡ng G N

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Jul 18, 2024

An excellent course! The instructor has done an amazing job at breaking things down for beginning learners. All the materials, especially the labs are very illustrative and thus helpful. Again thank you for this great course.

By Hadar D S (

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Jul 9, 2024

This course is very interesting and clear. As someone who took the Mathematics For Machine Learning And Data Science Specialization, I found the material very easy. This course is a must if you want to enter the world of AI.

By Tharindu M W

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Jan 3, 2024

Exceptional learning experience! The material was presented with great clarity, making it easy to grasp. The instructor's teaching style was effective and engaging. Highly recommend to anyone who interested to learn AI and ML

By Nikola J

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Aug 27, 2022

Amazing course. I've taken several ML and deep learing course as a graduate student in CS and none was as useful as this one. The course is down-to-earth but covers all the relevant topic and emphasizes practical application.

By Divyesh S

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Jun 27, 2022

I really like this course . The course is very interactive . Andew sir and team did a fabulous job explaining each and every concept of classification and regression very intuitively. Thank you so much Andrew sir and the team

By Juan P B

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Aug 13, 2023

The structure of the course as well as its teacher are exceptional, until now I have not found any course that explains the bases and fundamentals in such a clear and precise way (which I personally consider very necessary).

By omar s

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Aug 7, 2022

I was doing another courses in machine learning and on those courses I never knew what I was doing, if you want to learn whats happening under the hood of those machine learning libraries in python this is the course for you

By Om U

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Jan 2, 2025

It was just the best i expected, easy to comprehend, contains enough food for my brain to think about and just the best to begin with. The fifth star is for the video featuring the two pioneers of AI at Stanford. Inspiring.

By Mati V

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Apr 12, 2024

Thanks to every Professor for this amazing and high-quality content! I am a Telecommunications Engineer willing to transition to the AI world! Greetings from Argentina! And desiring to start a PhD in Electrical Eng. as well

By Mookalanyaye R T R

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Dec 20, 2023

No words to say. Professor Andrew Ng. is the best teacher on the planet. I love him. Thank you sir for your dedication and organization of this amazing course. My Love and respect again and again !!!!!!!!!!!!!!!!!!!!!!!!!!!

By Akshaj J

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Aug 18, 2023

I really enjoyed studying this course It was very well explained, the best part for me was the optional labs where we could play around with values and diagrams to understand how the concept works and mess around with code.

By Nguyen T D

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Jan 2, 2023

Unlike other courses I have taken, Andrew explained very clearly the underlining math and motivation of basic models like Linear/Polynomial Regression and Logistic Regression. He also explained the regularization very well.

By Qiuran W

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Sep 14, 2022

This course serves as a very good start for people who want to study machine learning. It is easy to understand, and all the assignments and labs a very helpful in both learning the basics of regression and thost of python

By Ronak P

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Jul 26, 2022

Excellent course for candidates who wish to start their journey in the field of data science and machine learning. And Andrew NG sir hates off to you. Thank you for preparing such a wonderful course amid your busy schedule.