Easy to understand and apply (+). Some code uses deprecated functions/methods. (-) Assignment answers seem to be mixed up (on very few occasions) so one has to randomly try out the correct answer to get 100%. (-) Issues reported.

4/5 simply because not all the lesson Jupyter Notebooks are downloadable--the download links do not work. But the course content is very educational and has a good balance of difficulty enough to challenge you while learning.

It's a nice course it deserve a 5/5 but some common and better regression algorithm like Decision Trees and Random Forest were not taught unlike the Classification part. Thanks

very clear contents and explanations. Regression methods are thoroughly explained. Examples of coding are indeed a very good basis to start coding on the project.

AN amazing course and contain really time values content only regret is that coursera doesn't come in dark mode

sebaiknya disediakan audio dengan bahasa indonesia agar lebih jelas dipahami

Interesting course focusing more on the regression for the machine learning

Very helpful course. There are few ups and downs but overall its helpful.

Good course with nice exemple for illustration

A great course to kick start your ML journey.

this course material was so helpful

Very well structured and taught

An truly exciting course!

thorough and well taught

I like this is cuourse

nice great learnig

Great course

very intense

best course

excellent

Excellent

good one

good

GOOD

Nice