Highly recommended! It made complex models & algorithms simple to understand. It also helped me to realize the power of linear algebra and calculus which I thought were useless at one point of my college study.

I think many machine learning concepts from data clean to training to error analysis discussed here for both supervised classification and regression problems. Both Neural network and decision trees discussed.

The concepts are explained in detail without anything rushed or skipped. It is worth it. Thank you for this course, if it wasn't for you, this opportunity would have never reached someone like me in Africa.

I was able to do this class during the spring quarter, it was perfect. I could do it slower or faster based on exams and still learn a lot. The interactive labs were great as well. 10/10 would recommend it.

Excellent course about advanced learning algorithms like neural network and decision trees! You'll gain a solid understanding of how those algorithms work and learn how to implement them yourself in Python.

Excellent course on machine learning techniques, including neural networks and decision trees, with lots of helpful information on how to enhance them and real-world implementation examples. Regards, sir.

Best course on machine learning even for the beginners. The teacher himself is the best and teaches everything in a very simple way. Just loved it. Thank you for creating such a nice and helpful course.

Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.

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!

Andrew was a great teacher, explaining complicated topics in a simple and intuitive way. The programming assignments helped to put theory into practice. A great place to start learning a new field!

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.

I had to put extra effort on this one as it delivers broader knowledge on Neural Networks and Decision Trees. Really liked the Fairness, Bias and Ethics section, I'll keep those into consideration.

This is a great introduction to Neural Networks and decision Trees! The only thing missing is more applied projects, but that's nothing a little bit of Kaggle can't fix. It's totally recommended!

This Course helped me to fundamentally understand Neural Network's Magical Dance and helped to explore the Wonderful Forest of Randomness and hence enabled me to have strong grasp on these Topics

Worth it! Can easily be complete within a month (even during a full, in-person, university class load). I used this to learn more about machine learning prior to conducting biomedical research.

Amazing content, perfectly curated topics with hands-on labs, although Assignments and labs could be more challenging based on certain level students who already have programming backgrounds.

Very good course to understand the basics of Machine Learning at a deep level. I really enjoyed taking this course and all the explanations and exercises provided. I cannot recommend it more!

what amazing course, I had never thought that i could understand these complex ml algorithm but this course not only made me understand them also taught me create these models from scratch🤯

The elementary method such as Linear Regression Model more meaningful than the hard method. Dr. Andrew Ng lectures are a very good combination of profound thought and perfect form. Thanks!

Beautifully done course! I'm finishing my master's thesis in the field of machine learning and this certificate was a great thing to see how things work behind the scenes. Thanks Andrew Ng!

This showcases key points and advice on building a good model via optimizing model hyperparameters hence making the learner able to debug and tune the model for the particular situation.

Great course got to learn a lot of under-the-hood working of various machine learning algorithms. I would surely recommend ML enthusiasts to enroll in this course to upskill yourself.

A great course ! I found that important intuitions and techniques for "tunning" and debugging neural networks are clearly explained. The labs and assignments are also really helpful.

Best course for beginners and it helped me immensely to learn new things in Neural Networks, DecisionTree, and What is the problem related to the Model overfitting and underfitting.

This course is even better and more accessible in this new format. This instance is quite complicated, requires some good python/numpy knowledge but the math is not so overwhelming.