interesante el curso aunque no me llego el certificado con honores apesar de que envie el trabaja y fue calificado

It's excellent course for beginners with theory and practical hands on training, really enjoyed it while learning.

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.

Would have been more interactive if the grading was done after each and every week through assignments.

Thank you

I learned useful things, but some topics at the end were not explained more, even for the level we are handling.

The course is good but I will need to start at a beginner level in order to consider reapplying to this course.

An excellent opportunity to get your hands-on Pyhton and its ML libraries. More practical than theoretical.

The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.

Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.

The course was informative, but it was also swift and sometimes challenging for a person new to the field.

The Content was brilliant but If you can add Reinforcement Learning to this course then it'll be more fun.

Very comprehensive in terms of topics covered, but could be improved with videos to walk through tutorials

Could have covered also Neural Networks and Random forest, but overall it was a very high-quality course.

Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.

the course was awesome, easy to understand even for someone with no prior knowledge in machine learning

Thank you so much!

The content was appropriate for my interests. I learned a lot and it was so accurate.

The course is aptly structured for intermediate learners - just the right level of complexity and ease.

It's always better to study materials made by IBM. Understandable concepts & great project experience.

More peer graded assignments should be there , so that learners get more practice for building models.

Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.

Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot

Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)

This was a good course - but still could use more hands-on exercises to go along with the lectures.

it was a nice course but there must be a little explanation video of the codes written in the labs

Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.