Отзывы учащихся о курсе Handling Imbalanced Data Classification Problems от партнера Coursera Project Network

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

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.

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 .

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

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.

Amazing course!! Thanks to the teacher for making contents easy to understand and incur the knowledge....

Practical content, very well explained.

Great learning experience

Great course

good

It is too easy. There is no missing data in the dataset, parameter tuning, outlier data, etc. It could be good for beginners.

The course is good.Unfortunately once you have given the test it is closed and you cannot access any of your code and work

It is a good class for an intermediate level

Guided project had an unrecoverable bug, and I could not complete it. After receiving no response from support, I just dropped the course.

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