Coursera Project Network의 Handling Imbalanced Data Classification Problems 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
AK
2020년 12월 4일
This is an amazing project with nice explanations! If you are into credit scoring and things of that sort, I highly recommend it. I just wished he elaborated more how to detect the threshold values
VT
2020년 8월 16일
Really amazing course. The basics of handling imbalance data are covered really well. Good explanation of how to work with ROC curve and get the right threshold to increase the target metrics.
Handling Imbalanced Data Classification Problems의 17개 리뷰 중 1~17
교육 기관: Monika K
•2021년 7월 29일
The course is good.Unfortunately once you have given the test it is closed and you cannot access any of your code and work
교육 기관: Idris
•2020년 9월 21일
It is a good class for an intermediate level
교육 기관: Steven M
•2021년 3월 10일
Guided project had an unrecoverable bug, and I could not complete it. After receiving no response from support, I just dropped the course.
교육 기관: Aafreen
•2020년 10월 14일
I especially liked how the instructor made us understand what we were doing before we started and how after every task, he didn't forget to assign some extra exploratory work you could do in that task. These are not something most of the instructors do and I am speaking from experience. The project was well structured and I couldn't have asked for more
교육 기관: Marwa A E
•2020년 8월 3일
Introduced to me the concept of SMOTE and how to use it for imbalanced datasets. Seeing, the effect of it on the datasets manipulated predicted results also showed how this technique makes classification problems more accurate.
교육 기관: Hayan M
•2021년 10월 16일
I highly recommend this course due to the importance of its content, and the clear guidance. the the methods presented and explained in this course helps solving the real world problem much effectivly .
교육 기관: Abekah C K
•2020년 12월 5일
This is an amazing project with nice explanations! If you are into credit scoring and things of that sort, I highly recommend it. I just wished he elaborated more how to detect the threshold values
교육 기관: Vaibhav T
•2020년 8월 16일
Really amazing course. The basics of handling imbalance data are covered really well. Good explanation of how to work with ROC curve and get the right threshold to increase the target metrics.
교육 기관: Luis Á T M
•2020년 9월 24일
I really enjoyed it! Complete pipeline, really easy to understand. And there is a reference to the original dataset, that's really important
교육 기관: Neha G
•2020년 8월 25일
Amazing course!! Thanks to the teacher for making contents easy to understand and incur the knowledge....
교육 기관: Solomon T
•2021년 8월 3일
Practical content, very well explained.
교육 기관: Divyanshu M
•2020년 8월 25일
Great learning experience
교육 기관: Evgeni N
•2022년 3월 22일
Super useful!
교육 기관: Jesus M Z F
•2020년 8월 1일
Great course
교육 기관: Matta A A S
•2021년 1월 25일
good
교육 기관: Merve D
•2020년 9월 29일
It is too easy. There is no missing data in the dataset, parameter tuning, outlier data, etc. It could be good for beginners.
교육 기관: Hannah P
•2021년 1월 22일
app would not load
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