After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.

This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon

A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.

Good for quick overview of some of the basics of introductory Machine Learning. More focused on theory and definitions.

This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.

it is all good but I cannot seem to create IBM Cloud account for some reasons... you guys have got to fix this problem

Week 6 was a bit chaotically organized. Overall, I really liked this course and would recommend it to other learners.

Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.

The content of course is good but , Add more practice material so that learner can able to applied it to real world.

Good knowledgeble course. Can me modified with simple programming tasks for people with zero programming knowledge.

A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!

Nice and easy to learn for basic of machine learning.

Concept are explain in nice way with the help of good example

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

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 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.