Could give a bit more focus on the coding part. What I mean is rather than giving notebooks with already written code, you could teach the code to the students and have them write it themselves.

It is really interesting, I think I have miss more focus on connecting everything together from the function f_wb to cost function to deltas to preditions. The labs are not very challenging.

Code cannot be transferred easily to jupyter notebooks or google colab. The course was 90% theory. Needs more real-world practice and projects. Other than that Theory was very good.

the course is well structured and you'll gain the fundamentals of ML. But the practical labs should be more challenging in my opinion. I am looking forward to the next course.

There is very less practice content for students. I hope keeping more graded notebooks would be helpful for students to get more practice and understand the concepts better.

The course is interesting but focuses on very theoretical aspects, more suited to academia than the working world. Unfortunately, the audio is not the best.

This course requires Python programming experience using the libraries this course needs. It is not suitable for learners with basic coding experience.

Much more of the lesson content needs to be focused on the code, rather than the underlying maths, seeing as it is purely code which is assessed.

Love the trainer. Would have been nice to start coding earlier. By the time we were called to actually write code, it was way too late.

The videos were really helpful, but the optional labs were useless. Besides, the practice labs felt like you are jumping few steps.

Doesn't really enable "DeepUnderstanding" - all abit rushed. Spend time afterwards going through more examples with more rigor.

Had problems with Python. I does so much for you it sometimes makes it difficult for a C, C++ or Java programer

Lectures were very clear and smoothly explained but the discussed consepts were only for complete begginers.

Thank you sir . I learned many new things from this course which will help me to much in my research work..

Good for absolute beginners with no background. Too slow and peace-meal information for anyone else.

Lot of great learning, but not taking into account using a lot of newer open source options.

Everything mostly taught was theory.I learnt very few concepts of coding.Disappointed!!

Theory part is good but the practical coding part is not much interactive

A bit long winded for problems that can be solved with 1-2 lines of code

the course lacked the many beginner things and was slow enough for me

The coding parts are not easy to understand on your own as a beginner

3 and half. I wish the course was designed to get us to code more.

Instructor is wonderful but course structure can use improvement

Esperaba ver un curso más práctico, pero fue demasiado teórico.

Course is good but lab assignments and exercises are less.