I started this course with zero knowledge of machine learning but now, after completing it, I have gained so much knowledge about each machine learning model. Amazing course!

Professor Andrew NG teaches really well in a structured way.These courses are helping me a lot in my college academics as well as in building various AI ML related projects.

Absolutely fantastic! Andrew is an amazing instructor. Thank you to Andrew and his team for taking the time to share their knowledge in such a well structured and clear way.

Great course! It would have been even better if there were some optional practice we could do. E.g, just some Kaggle links with possible answers would have been good enough.

Andrew Ng. and team have successfully deliver another amazing course, his teaching style is very efficient and keep student/learner from getting lost in the random forest :V

The course was well designed to give all the basic insights about the advanced learning algorithms.

I sincerely thank Andrew Ng sir and coursera for bringing such courses.

I loved the course. Its hard to go through all the topics as a non mathematician, but with my CS background it worked well :-) Thank you for creating such great material.

Great course! Compared to the previous version, this version deletes the backpropagation in the neural network and adds the tree model, briefly introducing some knowledge.

The course on decision trees, random forests and XGBoost is the perfect balance between summarizing key concepts and providing intuition of the maths behind the concepts.

Thank you so much for the great and useful course, and thanks for the financial aid that allowed me to take the certificate and access the quizzes and all the materials.

The concepts of Neural Networks and Decision Trees have been explained thoroughly. The programming assignments further elaborated the implementation of these Algorithms.

This course gave me the right idea about Advanced Machine Learning Algorithms and I've learned a lot of new skills across this course and I highly recommend this course.

This course helped me in building a foundation for machine learning under a great instructor .Really helpful for a person having great interest in machine learning .

An excellent update to the previous Machine Learning course. Goes into excellent detail about each algorithm and the practical notebooks are useful and easy to follow.

The course is very comprehensive and all the concepts are well explained. One piece that's missing is back propagation. other than that, the course is just amazing.

In hands on practice lab implementing random forest algorithm, I did not see the code to consider square root of n features. It would be great if that can be added.

You would be hard-pressed to find a better introduction to implementing, training and evaluating Artificial Neural Networks and Decision Trees anywhere else online.

This course easy to understand for complete beginners, has perfect pace and best part is you get to implement theory in code and visualize everything for yourself

I really had fun working through this course. I can't wait to take the final course of this specialization. Thanks a lot Deeplearning.ai, Andrew Ng, and Coursera.

A complete course covering all necessary topics and materials about implementing a real neural network and optimizing that for real-world problems, thanks a lot.

This course widened my view of machine learning algorithms, and it has lots of implementation for research fields of water resources engineering and management.

The Notebooks were designed excellent!

Concepts from the lectures were presented in an easy-to-understand manner.

This course was, overall, challenging and fun!

Very engaging course. It made neural networks accessible and understandable. The hands on labs gave a good foundation on how to use TF for creating neral nets.

Wonderfully taught by Professor Ng, well paced with the easy and hard topics, pushing the mind to the limit but also keeping you hooked with interesting stuff!

Best Course. It gives a in-deep knowledge about the ML algorithms and good amount of knowledge to build your foundation to start building your own ML Projects