Course material is good and flows well, but are ANNs and decision trees the only advanced algos? Loved the parts on model bias/variance determination and how to fix the model based on the determination.

Beginner level course, explained simple concepts on neural network specifically Multi-Layer Perceptron & Decision Tree, nothing advanced topics covered. But the explanation is very very good.

I felt the lab assignment in the Decision trees section was a little too fast to comprehend. Otherwise, it was an excellent course with just the necessary theory and intuition.

Very good didactical approach. The labs are straight-forward but test programming skills more than AI expertise. Editing and error checking in the notebooks is poor.

It would be much better if you link a relevant applied AI course with this package. The course is more of theory, than practical application.

Pretty great. I kind of wish the assignments were a little more challenging but I realize that it's a beginner level course too.

The last week is less boring, it was hard for me to grab to concepts of the last week, it seems everything magically works!

The course is very informative but assignments solutions are provided. There is a lack of challenging learners to do more.

This one is a little pacy compared to the first one. Maybe the explanation for the math is not as clear as the first one.

Really good course, maybe some more project-like assignments would be beneficial to assimilate the concepts more deeply

Concepts are well explained, but the last Practice Lab had confusing problems that were not well-explained.

Amazing Course!! I feel that the Random Forest and XGBoost section could be a little more elaborated.

I wished they added neural networks after all the ML algorithms but agains the teaching was amazing

I found the lab practice a bit simple and technical on one side but not intresting on the other.

This course is really interesting and the lecturer explain each topic very neatly and slowly.

It should have more practices. There's a lot of theory, but just a little practice.

Excellent presentation that provides insights into practical problem-solving

Very competent and detailed explanations. Intuitive way to teach the topic.

Great course to learn about most used useful algos in ML and DL by Mr. Ng

Course could have been more technical. Certificate sharing doesn't work

Great, but could have more challenging assignments and projects.

Good to learn from this course. It is giving valuable insights.

Please add some content to get started with kaggle assignments

You should focus more on practical implementation than theory.

Good intro to some machine learning algorithms and techniques