Il corso mi è piaciuto per quanto riguarda la parte teorica e di esercitazione opzionale sulla programmazione, gli argomenti sono spiegati di pari passo per fare capire step by step gli algoritmi che gestiscono questo fantastico mondo dell'intelligenza artificiale

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.

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 !

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

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.

I was looking to start the process of learning AI/machine learning from absolute basic fundamentals. After checking various options online, i decided to try this course and i got what i wanted. If you are new to AI/ML, this course will be a great starting point.

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!

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!

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. :)

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.

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.

Es un curso increíblemente completo a nivel matemático y programático, el profesor explica de una manera detenida e impecable, aprendí de una increíble manera y muy ágil, ya que las enseñanzas impartidas están muy bien estructuradas y son fáciles de comprender.

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.

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!

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

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!

Excellent overview of Regression and Classification. The labs were very useful in breaking down the logic behind the individual components of each ML method to help build a better intuition on how these models operate and why we might use them in select cases.

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.

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

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!

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!

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.

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!

You will still need to practice what you have learnt but the content that is re-enforced with the labs are a great start. You can take any data set you want on Kaggle and jump right in with your first ML algorithm. The knowledge gained here is that good.

Thank you for the fantastic course! The beginner-friendly approach really helped me understand the concepts. The labs were great for demonstrating the practical applications of the mathematical ideas . I’m excited to apply this knowledge in my projects :)