Great course!

Great Class!

EXCELLENT

very good

Excellent

все супер

i's good

nice one

Noiiice!

Good!

nice

Good

Nice

V

It is definitely a good one and easy to understand... What I mostly struggled was with the data sets which were hard to find... probably if some data sets would have been provided would have really helped - would have been easier to run the program through with multiple sets and see the best results across.

Essentially the major learning happens when you actually run it on your own (for which you may have to go back and forth with the instructors examples / teachings.

Excellent introductory course on machine learning focusing on simple linear and multiple regression, lasso regression and k-means clustering. A background in Python programming is useful but not required as the instructors discuss the techniques with annotated code examples.

I definitely appreciate this information on Machine Learning. And from an outsider perspective would say it is quite clear - when I put it into practice will see how it goes. I do like the video format and will say that through out the course the instructor

Since it is a part of a specialization, the topics start somewhere in between and is only recommended for those who have completed the previous courses with in these specialization.

More examples in coding and results are expected. So it is more convenient for students to compare different results and understand deeper

More Implementation oriented and less math

also contains distracting background videos when explaining important concepts

Very good. I enjoyed doing it and learned a lot.

I would have liked that it had included r as one of the softwares.

Excellent course, some basic tecniques of Machine Learning are implemented in Python and SAS.

I would like to have an opportunity to contact my reviews.

Learned some really useful ML models.

Good course for beginners