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 Matthew C•
Lots of good material, but some things (like PCA) didn't receive enough coverage in the lectures. The quizzes also weren't great at testing the material in the lectures.
创建者 Utkarsh Y•
Great course. Only missing piece is the working information / maths behind the models. But as the name suggests it teaches practical approach towards machine learning.
创建者 Craig S•
Not as detailed as some others in the specialization which is a shame but good none the less. The videos go through the info quickly so be prepared to go back over.
创建者 Roberto G•
Great as an introduction for someone with no practical experience. Lectures are too theoretical and lack some examples to translates the theory into practice
创建者 Nicholas T•
Very good course. Fast paced and a lot of self study required to fully understand some of the nuances of the R (if you're not familiar with the language).
创建者 Eric L•
Great course, very high paced with a lot of information. would have been great to add two more weeks and another project to use more machine learning
创建者 Igor H•
Rather basic, nevertheless a good introduction to the topic of machine learning with R. Mostly concentrated on applications of the R caret package.
创建者 Lee G•
A very good starter course on Machine Learning in R with great links to various resources that students and delve deeper into the various topics.
创建者 Yashaswi P•
Good Course the covers a lot of practical aspects and relevant to the real world solution.
Good References and Learning Materails are available
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 SEBASTIAN E C•
Maybe final review must be verified by an expert, also the kind of data to analyse must be change over the 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 E 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