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.
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
By Pavlo B
•Aug 21, 2022
Simple and practical, the course teaches the basic tools of machine learning, logistic and linear regression. It also touches on feature scaling, under- and overfitting, regularization and gradient descent
By Petro S
•Aug 1, 2022
First of all thank you for possibility to study this course.
Material is presented in a clear and understandable way.
The examples presented are clear.
Liked the interactive possibilities of laboratory work.
By Ömer E A
•Mar 14, 2024
Best course for beginners. Andrew Ng is an amazing instructor and I am looking forward to start to his other courses. However, even though I definitely learned a lot, I wish this course was a bit harder.
By Hossein H N
•Feb 20, 2023
I highly enjoyed the course .special thanks to Andrew for clear and simple teaching during the course. this course pushed me one step closer to the goal. Definitely I will enroll in 2 next course of this
By Aneesh V
•Sep 28, 2022
One of the best online course. Even a person with a complete different domain knowldge can successfully complete this course without much dificulty. The math is not deep but to the point. Labs are great.
By Ahmed F
•Jul 24, 2022
an amazing hands on experience, you not only learn ML but also python on the go and it is a very amusing course and very short to the point, easy to finish with some little effort and concentration on it.
By Jeff W
•Jul 2, 2022
I started taking the old version and then I heard this one was coming, so I did the new one instead. Much better! Great to be in Python and even clearer lectures. Prof Ng is easy and fun to listen too.
By Abdul A N
•Feb 4, 2024
Now I have a solid grasp of Regression, Classification, and Gradient Descent. Andrew expertly untangled the complexities and turned what seemed complicated into a comprehensible gem. Thank You very much!
By Rifat A E S
•Jul 29, 2023
Really amazed to learn how the modern advancement of AI and Machine Learning are build with pure mathematics and statistics. Great thanks to Andrew Ng for making these complex concept easy to understand.
By Surasin T
•Aug 21, 2022
This improved version is a lot easier to follow comparing with 3 years ago.
The course has been designed very well. No software installation is required. The couse is using an online tool to do the labs.
By Mirro S
•Oct 23, 2023
Absolutely brilliant course. Self taught enginner, wanted to learn more about building tools with ML and this course really gave me the fundemental knowledge I needed to take the next leap in my career.
By Hendri T
•Mar 31, 2023
The instructor has a deep understanding about Supervised Machine Learning and communicate/explain it very well in the video. The Labs are also useful to understand how to implement the theory into code.
By manobharathi m
•Mar 18, 2023
Amazing course, I recommend who want to deep dive in Machine Learning should enrol in this course.
This course is designed for all the people but you need to understand python code to practice algorithms
By sohith k
•Oct 30, 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 .
By Katerina A
•Jul 28, 2022
It was the best course I ever had! It iwill be very difficult for me to use the algorithms I was tought, but I am very thrilled that I finished it! I am grateful to Professor Andrew Ng and the team!!!!
By Goitom Y
•May 1, 2024
"Supervised Machine Learning: Regression and Classification" is an excellent introductory course that effectively teaches the core concepts and provides practical experience through coding assignments.
By Asfaw G
•Jun 10, 2023
I loved this course a lot. The environment, the teaching methodology, the follow of concepts... everything is well crafted. And I can't thank you enough for availing this amazing course free of charge.
By Anand S
•May 9, 2023
Has to be the best course in ML I have ever taken. Thanks to Coursera for the Financial aid. I would recommend the course for anyone who wants to learn the basics of ML in a fun and interactive manner.
By Javier G
•Apr 27, 2024
Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.
By Sebastian A
•Aug 9, 2022
I really liked it! Andrew explained perfectly all the concepts and I understood everything.
The only thing I think It could improve is to have more Lab Tests, so you practice more what you have learnt.
By Susanne B
•Nov 6, 2022
This course is a brief but thorough introduction. It has a good mixture of theory and practice.
Andrew Ng explains every thing very good, understandable and in a fun way.
I highly recommend this class!
By Abdullah-Al M
•Mar 11, 2024
This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.
By Rizwan N T
•Apr 13, 2023
it is probably one of the best courses i've ever taken, definitely recommend for beginners, and then to further improve your skills, take the other 2 courses of the specialization, i will do so too
By Fahad M
•Sep 23, 2022
Very Engaging course. The instructor explains stuff in a way such that a student can develop a sound intuition of the mathematics behind the algorithms in addition to the implementation side of it
By Anuj P
•Sep 3, 2022
A perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.