Jan 16, 2017
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!
Aug 13, 2020
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
创建者 Bruce I K•
Oct 20, 2016
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.
创建者 Aashay M•
May 29, 2016
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
创建者 Paul K•
Apr 8, 2017
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.
创建者 Andrés D C•
Jun 1, 2021
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.
创建者 Erika G•
Jul 28, 2016
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.
创建者 haridas P•
Mar 13, 2021
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
创建者 Jiarui Q•
Mar 27, 2019
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.
创建者 Matthew C•
Dec 11, 2017
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•
Nov 17, 2016
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•
Feb 12, 2018
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•
May 20, 2017
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•
Jul 3, 2020
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•
Jun 2, 2016
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•
Sep 10, 2016
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•
Sep 22, 2017
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•
May 24, 2020
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•
Sep 6, 2017
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•
Dec 14, 2020
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•
Dec 13, 2016
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•
Sep 24, 2018
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•
Aug 14, 2017
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•
Oct 10, 2017
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•
Sep 27, 2016
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•
Jan 10, 2020
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•
Feb 8, 2016
Very good course. I am very knew to this topic but am sure will find a lot of application in my speciality - geophysics