Learner Reviews & Feedback for Machine Learning for Data Analysis by Wesleyan University
About the Course
Top reviews
I enjoyed this course a lot. It's easy and I've learnt what I need to apply the machine learning techniques. Easy and simple. You don't need to be a mathematician.
Clear and explanatory approach to the object. Instructors have great teaching transmissibility.
26 - 50 of 63 Reviews for Machine Learning for Data Analysis
By Amrutha K A
•EXCELLENT
By JADHAV R B
•very good
By Jyoti P K
•Excellent
By Тефикова А Р
•все супер
By Tejas G
•nice one
By Artem A
•Noiiice!
By Steven L
•Good!
By Sharath C S
•nice
By Keerthana G
•Good
By Mansi S G
•Nice
By Mathilde v E
•
V
By Shreyans J
•It is definitely a good one and easy to understand... What I mostly struggled was with the data sets which were hard to find... probably if some data sets would have been provided would have really helped - would have been easier to run the program through with multiple sets and see the best results across.
Essentially the major learning happens when you actually run it on your own (for which you may have to go back and forth with the instructors examples / teachings.
By Michael B
•Excellent introductory course on machine learning focusing on simple linear and multiple regression, lasso regression and k-means clustering. A background in Python programming is useful but not required as the instructors discuss the techniques with annotated code examples.
By Christine R
•I definitely appreciate this information on Machine Learning. And from an outsider perspective would say it is quite clear - when I put it into practice will see how it goes. I do like the video format and will say that through out the course the instructor
By Manikanta K
•Since it is a part of a specialization, the topics start somewhere in between and is only recommended for those who have completed the previous courses with in these specialization.
By Mengyue S
•More examples in coding and results are expected. So it is more convenient for students to compare different results and understand deeper
By ADITYA Y P
•More Implementation oriented and less math
also contains distracting background videos when explaining important concepts
By Oriana A
•Very good. I enjoyed doing it and learned a lot.
I would have liked that it had included r as one of the softwares.
By Leonardo A
•Excellent course, some basic tecniques of Machine Learning are implemented in Python and SAS.
By Ivan C
•I would like to have an opportunity to contact my reviews.
By Drew M
•Learned some really useful ML models.
By Kailas R
•Good course for beginners
By krushna l
•it is very useful to me
By Lee X A
•Disadvantages : Lacks Rigour, Lacks Support from instructors , Expensive , Peer review ( this is somewhat bad as most barely give any comments, though towards the end, reviews tend to be pretty good). *** DISCLAIMER *** I am not statistically significant as i only receive 3 reviews per week.
Advantages :Quick to earn cert, prewritten code available for easy use. Assignments on your own data. This is probably useful for people wanting to learn techniques for data analysis, who need not go too deep into the technique.
I would recommend this to people learning techniques for data analysis in various non-mathematical and non-statistical fields, though the content lacks rigour, and you need outside sources to help understand techniques.
This course IS NOT WORTH PAYING USD79, there are definitely other courses much more worth the money. You can audit it for free, if you do not want a cert.
By Dinesh B
•The material is good but the functions should have been explained in more detail. There is kind of repetition of same thing. It should have given some more examples and changes in code to explain the different types of ways to apply same algorithm.
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