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.

Some of the topics could have been explained in more detail like relu, softmax functions etc.

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

Big concepts are taught as if it is addition or subtraction. Understood everything !!

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

instructor is good, easy to learn , but last in 2nd course, it's feel like laggy

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.

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

Got the theory but need more hands-on work to learn actual working.

It would have been better if the assignment were a bit more tough.

in depth, strong fundamental understanding is built through this

My first course on Advanced Learning Algorithm. Love this course

Great, but could have more challenging assignments and projects.