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

Good course and technical depth. Would be good to spend more time on the Entropy and Information Gain topics and via examples.

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.

It would have been better if there were more hands-on exercises with practical and real-life data sets for each algorithm.

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

If the lab materials and implementations were described It would have been the best course on Machine Learning Basics

Great material. I felt there was a lot of talking, but it might just be me. I do better in a hands-on environment

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.

the second course was little boring than the first one,and the concepts explanations were too long.

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

The labs are not very challenging, maybe some more coding would help to understand more material.

i needed more practical projects and code explanation but theoretically the course is very good!

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

course is good, content of the course is easy to understand but their is a lack of practice set

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

The only thing this course lacked was a capstone project/ direction on how to practice

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

More labs would have been nice especially for non initiated student in Python

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

really fun and interesting. Loved the course and i learnt a lot from it.