excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!
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
It is a nice introduction, but the course is not as good as the other ones from the specialization. Nonetheless, it is just right to get into ML, understand key concepts, applications, algorithms and practice.
創建者 Bruce I K•
It's a great course but I hope you add a few things. The course about the machine learning algorithm is so basic. Please get deep into the machine learning algorithm. Then it would become the perfect course.
創建者 Aashay M•
In my opinion this course is highly technical and demanding in nature compared with the others. The learning experience is good and coursera.org has given a opportunity for customization ! thank you Coursera
創建者 Paul K•
Very good summary of strengths/weaknesses of various machine learning algorithms. This lecturer's style and production quality is much higher than in the previous two courses in the specialization series.
創建者 Andrés D C•
A well descriptive experience for this subject; really steps into how to handle information and how to extract info from them. You need to be prepared with Regression Models, it's the base of it.
創建者 Erika G•
I learned a lot in this class. There are slight gaps from the depth of material covered in the lectures to the quizzes and assignment. If you're good at researching online, you'll be fine.
創建者 haridas P•
This is a well thought about course which focuses on familiarizing the learner on the concepts of Machine Learning and develops a love in the learner towards predictive modeling. Thank you
創建者 Jiarui Q•
It is still kind of hard for a learner to understand the methods. But it gives me a overall introduction of machine learning and I will have further learning in the future.
創建者 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.
創建者 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.
創建者 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.
創建者 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
創建者 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).
創建者 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
創建者 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.
創建者 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.
創建者 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
創建者 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.
創建者 Gabriela C•
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.
創建者 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.
創建者 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
創建者 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.
創建者 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.
創建者 Níck F•
Was pretty good, but quite short and some assignments did not align as well with the lecture material as they could have.
創建者 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.