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.
创建者 Ann B•
Good class to get the basics of Practical Machine Learning. This course is best taken as a part of the data science series from John Hopkins.
创建者 Gabriela C V•
It's harder than the previous one. it would be nice to update some the quizzes as they are based on older versions of R Studio libraies.
创建者 Hernan S•
The quiz should be constructed in a way that depends less on the version of the libraries used. The rest of course was excellent.
创建者 Jakub W•
Vary practical approach, almost no theory or in-depth explanation of the subject, but a lot of focus on applying ML in practice
创建者 Md F A•
To me with this course, the best learning aspect is the final project; how to use Machine Learning Algorithms on data analysis.
创建者 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.
创建者 Níck F•
Was pretty good, but quite short and some assignments did not align as well with the lecture material as they could have.
创建者 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.
创建者 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
创建者 Kevin S•
Good introduction to machine learning, might suffer a bit from trying to cover too much ground in such a short time.
创建者 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.
创建者 A. R C•
I enjoyed it but it needs indeed to deep into many concepts, which are just briefly named during the course.
创建者 marcelo G•
Great course, very demanding, but it could use more reading material, ebooks instead of links on video.
创建者 Jeffrey T•
Good overview of available techniques and the Caret package. Will get you started in machine learning.
创建者 BIBHUTI B P•
This was a superb module which created a deep learning insight within me focusing on future technology
创建者 João R•
Got confused how to perform cross validation and when. Other than that, very practical. Great job.
创建者 Daniel R•
The course is really great, however it should last a little longer, 4 weeks is hard to accomplish
创建者 César A C•
Very interesting course. May be a little bit harder than the previous ones but it could be done.
创建者 Greig R•
Good course, I learnt a lot. It does need to be updated with more modern versions of software.
创建者 Pieter v d V•
Very quick overview. If you really want to know something about it read the reference books.
创建者 Guilherme C C•
Title says everything. Practically and basically no theory explained. Good course though.
创建者 Carlos C•
Excellent content so I give 4 starts. I stat less because the trainer speaks too fast.
创建者 carlos j m r•
I thought there were Swirl practice as other courses, however this course is very good.
创建者 alon c•
Great Course, will be nice to have more projects to see how it goes with different data
创建者 Anant S•
good course for initial understanding of machine learning. SVM can also be included.