This was a very good course who are want to learn the basics from.

Decent theoretical intro to machine learning but not much practice

Recommendation systems could receive a peer-reviewed task as well.

A good platform for users curious about the various ML techniques.

Marks were deducted for no reason in the peer graded assignment .

Well-structured course. It drives you stop-by-step in most cases.

This course is very useful and also helps to improve your skills

notebook setups for final projects could have been much better.

Awesome course with excellent content and Project based learning

Some concepts were hurried. But jypyter notebooks are very good.

overall good, but I'd prefer more coding practice in python lab

A complete package for those who want to start from the stratch

- well structured content - I like jupyter lab, fun to try out

There are a few misleading and vague questions in the content.

This is a very gd course for a student to learn ML with python

Over all good. The lab results could be explained a bit better

It is best for beginners for introduction to machine learning.

This course helps me to get understand about Machine Learning.

pythopn coding execices should be graded at my point of view

It is a good course, they could put more practical exercises.

A little more hands on training on the videos were necessary.

It would be better to update the python code in each example

it was a good course for learning the usages of python in ML

It is good one,I learned basic concepts of Ml in this course

Some explanations were superficial but this is a good start