recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
par Rhys T•
Good course, some aspects of the assignment were a bit beyond the scope of what the course teaches but overall I learnt a lot.
par Níck F•
Was pretty good, but quite short and some assignments did not align as well with the lecture material as they could have.
par Michael O D•
This is a great course, but it would be good to see it updated to use the newer evolution of the caret package, parsnip.
par Tongesai K•
Very good course. I am very knew to this topic but am sure will find a lot of application in my speciality - geophysics
par Kevin S•
Good introduction to machine learning, might suffer a bit from trying to cover too much ground in such a short time.
par Sulan L•
I hope we can have more détails in this cours and to see how to use the algorithms for the big data. Thank you.
par A. R C•
I enjoyed it but it needs indeed to deep into many concepts, which are just briefly named during the course.
par marcelo G•
Great course, very demanding, but it could use more reading material, ebooks instead of links on video.
par Jeffrey E T•
Good overview of available techniques and the Caret package. Will get you started in machine learning.
par BIBHUTI B P•
This was a superb module which created a deep learning insight within me focusing on future technology
par João R•
Got confused how to perform cross validation and when. Other than that, very practical. Great job.
par Daniel R•
The course is really great, however it should last a little longer, 4 weeks is hard to accomplish
par César A C•
Very interesting course. May be a little bit harder than the previous ones but it could be done.
par Greig R•
Good course, I learnt a lot. It does need to be updated with more modern versions of software.
par Pieter v d V•
Very quick overview. If you really want to know something about it read the reference books.
par Guilherme C C•
Title says everything. Practically and basically no theory explained. Good course though.
par Carlos C•
Excellent content so I give 4 starts. I stat less because the trainer speaks too fast.
par carlos j m r•
I thought there were Swirl practice as other courses, however this course is very good.
par alon c•
Great Course, will be nice to have more projects to see how it goes with different data
par Anant S•
good course for initial understanding of machine learning. SVM can also be included.
par Caio H•
I learned a lot in this course, but I would recommend taking the courses in order.
very good, but if it has swirl practice like th other courses it would be perfect.
par Christian W•
First 3 weeks are manageable and the final project is great! I had a lot of fun :)
par Yew C C•
Wish to have more systematic structure, detail information and hands-on exercises.
par vivek s•
introduces lot of machine learning techniques which are used by practitioners !