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

4.6
звезд
Оценки: 54

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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1–17 из 17 отзывов о курсе Handling Imbalanced Data Classification Problems

автор: Monika K

29 июля 2021 г.

автор: Idris

21 сент. 2020 г.

автор: Steven M

10 мар. 2021 г.

автор: Aafreen

14 окт. 2020 г.

автор: Marwa A E

3 авг. 2020 г.

автор: Hayan M

16 окт. 2021 г.

автор: Abekah C K

5 дек. 2020 г.

автор: Vaibhav T

16 авг. 2020 г.

автор: Luis Á T M

24 сент. 2020 г.

автор: Neha G

25 авг. 2020 г.

автор: Solomon T

3 авг. 2021 г.

автор: Divyanshu M

25 авг. 2020 г.

автор: Evgeni N

22 мар. 2022 г.

автор: Jesus M Z F

1 авг. 2020 г.

автор: Matta A A S

25 янв. 2021 г.

автор: Merve D

29 сент. 2020 г.

автор: Hannah P

22 янв. 2021 г.