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

4.6
звезд
Оценки: 49
Рецензии: 15

О курсе

In this 2-hour long project-based course on handling imbalanced data classification problems, you will learn to understand the business problem related we are trying to solve and and understand the dataset. You will also learn how to select best evaluation metric for imbalanced datasets and data resampling techniques like undersampling, oversampling and SMOTE before we use them for model building process. At the end of the course you will understand and learn how to implement ROC curve and adjust probability threshold to improve selected evaluation metric of the model. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

AK
4 дек. 2020 г.

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
16 авг. 2020 г.

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.

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1–16 из 16 отзывов о курсе Handling Imbalanced Data Classification Problems

автор: Aafreen

14 окт. 2020 г.

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

автор: Marwa A E

3 авг. 2020 г.

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.

автор: Hayan M

16 окт. 2021 г.

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 .

автор: Abekah C K

5 дек. 2020 г.

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

автор: Vaibhav T

16 авг. 2020 г.

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.

автор: Neha G

25 авг. 2020 г.

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

автор: Solomon T

3 авг. 2021 г.

Practical content, very well explained.

автор: Divyanshu M

25 авг. 2020 г.

Great learning experience

автор: Jesus M Z F

1 авг. 2020 г.

Great course

автор: Matta A A S

25 янв. 2021 г.

good

автор: Merve D

29 сент. 2020 г.

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

автор: Monika K

29 июля 2021 г.

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

автор: Idris

21 сент. 2020 г.

It is a good class for an intermediate level

автор: Steven M

10 мар. 2021 г.

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

автор: Hannah P

22 янв. 2021 г.

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