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

4.9
stars
17,990 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

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.

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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401 - 425 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Yash B

Jul 11, 2022

Really helpful! Doesn't feel that difficult in the beginning, but slowly starts to become a little complicated. Dr. Andrew's teaching pace and style is amazing, really calming. I enjoyed this course, and hopefully will love the next 2 courses in the specialization too.

By Akash K P

Feb 8, 2023

This course has been a great learning experience and I am grateful for the opportunity to expand my knowledge in this field. With this course, I feel confident in my ability to develop, implement and evaluate effective machine learning models for various applications.

By Soroush R

Aug 5, 2023

Fabulous course to learn the fundamentals of machine learning. The tutor of this course, Andrew Ng, has the best method of conveying essentials and basics through examples and visual graphs. I am more than happy I could access and follow this course through Coursera.

By Alessandro C

Mar 7, 2023

The finest quality material and learning experience I've experienced in a learning platform. Professor Ng is able to deliver key concept with outstanding clarity and conciseness, keeping the lessons engaging with with videos that are short, sweet and to the point.

By Sravana K K

May 15, 2023

This is EXCELLENT course. If you are confused about where to start with learning ML, start here. The course videos, practice code, and tests are all designed meticulously so that anyone with basic math and computer science knowledge can get a solid grounding in ML.

By Saurabh Y

Nov 15, 2022

I just can't thank enough Andrew sir and Coursera for making such a wholesome course .

I was trying to learn machine learning from the past few months but the information was scattered and I became directionless.

This course is the best thing happened to me in year

By Dilshan A

Mar 22, 2024

I studied 4 courses related to the supervise learning prior to take this course. But this the best and amazing course so far I learn about ML supervise learning. Thank you so much Prof. Andrew Ng for created such an enormous effective ML supervise learning course.

By Nagy B

Mar 18, 2024

I would like to thank Andres NG and his team for creating this amazing course on Machine Learning, such an amazing opportunity to learn and get familiar with foundational concepts about AI and Machine Learning. Amazing course thank you Stanford and Deep-Learning !

By Nicolas D Á

Feb 3, 2023

In addition to the evident technical mastery, you can really notice the excellent pedagogical quality of this curse. Definitely one of the best online curses I've ever taken. The resources provided and the organization of the jupyter notebooks is incredible. 10/10

By HexagonReversal

Jan 20, 2023

Good content for learning the basics, but does not go beyond very simple math. Only two models were introduced here: linear and logistic regression/classification.

Has a very brief introduction to scikit-learn but again doesn't go to any depth beyond two lab files.

By Suchit G

Apr 7, 2023

An excellent course for beginners and people who know python alike. There aren't many drawbacks in this course, but I have to point out that this course would benefit with some easy to medium level exercises at least. Other than that this is quite a flawless one!

By Alexander F

Sep 28, 2022

Brilliant course. Accessible for anyone who can code in Python and do high-school algebra math (yet it goes deep into the heart of the math for us nerds), and leaves you surprised as to how much you actually learned when you look back. No small feat by any means!

By Daniel M

Apr 19, 2023

I really enjoyed the course because it wasn't too much information at one time but you could feel that it was good thought out. I would recommend to everyone who has a little bit of python programming experience and wants to learn more about Machine Learning. :)

By Abdullahi E

Mar 14, 2023

Profs explanations were great and I only had to do a bit of my own learning to get a better grasp of numpy. My only recommendation is if you are applying for financial aid, do not start the course until you get approved. You cannot do any labs or submit quizzes.

By Şəfa S

Oct 18, 2022

All theories,details are explained completely simple ways. After watching all videos, I could understand given concepts and implement them on practical labs. Great thanks to all instructors and also cousera that provide me financial aid to complete this course.

By Derrick W

Aug 31, 2023

As someone who was unsure about how to start with machine learning, this course was an absolute game-changer for me. The way the content was structured and broken down into simplified chunks was perfect for a novice like me. 🚀

This is epic, I 100% recommend it.

By Manjul B

Aug 9, 2023

Great examples and visualization were given which were very beneficial to understand the following concepts. A great course to start your Machine Learning journey as it teaches you all the fundamentals you need to know for Supervised Learning. Highly recommend!

By Victor K

Jun 26, 2023

Very nice and instructional. The labs are a bit hard for me. I think maybe it's because I just am not that great at coding, so it's quite straining for me to comprehend. But otherwise, the videos are very helpful and the contents are introduced quite structured

By Matheus d M d A

Nov 5, 2022

Very good introduction on machine learning. One of the best explanations of linear regression I have ever seen. The course has a good progression from the basics to the implementation, but do not forget to practice on the labs. They are the heart of the course!

By Sanket S

Jun 17, 2023

The Explanation of course is in-depth. while I was looking for Supervised Machine Learning: Regression and Classification with the help of sklearn. But, at the end of the course, I learn all the basic concepts in depth. Thanks for creating such good course.

By Rohith T

May 27, 2023

This is an absolutely worth it course which introduces the basic algorithms of machine learning and is structured in such a way that it is easy to understand even for someone who is not very proficient in coding. Great Teaching by Andrew Ng. Loved the course

By Xiaoyu M

Oct 4, 2022

It is suitable for beginners and those who have studied it to review the course, which includes machine learning methods and ideas such as linear regression, logical regression and clustering. The course provides practical codes for everyone to learn. Great!

By Shadow

Jan 10, 2024

This course has really helped me understand the basic concepts of supervised machine learning in an easy manner. I am excited to continue learning and exploring the field of machine learning. Thank you for providing such a valuable and comprehensive course!

By Sivanujan S

Oct 10, 2023

This is the very first machine learning course in my ML career. I enjoyed the way of teaching by Andrew Ng Sir. He is an expert in explaining complex topics in very simply understandable language. Highly Recommend this course for anyone who breaks into ML.

By Alejandro P

May 8, 2023

Exposure to lots of math I wasn't familiar with, but after multiple rewinds, they mostly made sense. Though, I'll be going back through my notes to review the material to prepare for the following courses. Definitely recommended for beginners like myself!