Learner Reviews & Feedback for Machine Learning for Data Analysis by Wesleyan University
About the Course
developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization
before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning
concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic
classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machi...
Top reviews
KP
May 7, 2020
Clear and explanatory approach to the object. Instructors have great teaching transmissibility.
BC
Oct 5, 2016
Very good course. I recommend to anyone who's interested in data analysis and machine learning.
26 - 50 of 69 Reviews for Machine Learning for Data Analysis
By Thomas C K
•Oct 11, 2016
Great Class!
By Amrutha K A
•Sep 27, 2020
EXCELLENT
By JADHAV R B
•Sep 17, 2020
very good
By Jyoti K
•Sep 9, 2020
Excellent
By Тефикова А Р
•Mar 20, 2018
все супер
By Tejas G
•Aug 31, 2020
nice one
By Artem S A
•Apr 14, 2016
Noiiice!
By Steven L
•Aug 30, 2017
Good!
By Sharath C S
•Sep 25, 2020
nice
By keerthana G
•Sep 22, 2020
Good
By Mansi S G
•Aug 25, 2020
Nice
By Mathilde v E
•Jul 21, 2016
V
By Shreyans J
•Jun 27, 2019
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
•Jan 3, 2017
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
•Aug 15, 2017
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
•Apr 27, 2020
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
•Mar 22, 2016
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
•Jan 6, 2018
More Implementation oriented and less math
also contains distracting background videos when explaining important concepts
By Oriana A
•Mar 21, 2017
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
•Oct 31, 2016
Excellent course, some basic tecniques of Machine Learning are implemented in Python and SAS.
By Ivan C
•Mar 3, 2016
I would like to have an opportunity to contact my reviews.
By Drew M
•Oct 13, 2018
Learned some really useful ML models.
By Kailas R
•Aug 18, 2020
Good course for beginners
By krushna l
•Sep 14, 2020
it is very useful to me
By Tamal B
•Dec 16, 2023
Good Course