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Comentários e feedback de alunos de Handling Imbalanced Data Classification Problems da instituição Coursera Project Network

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Sobre o curso

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....

Melhores avaliações

AK

4 de dez de 2020

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 de ago de 2020

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 de 17 Avaliações para o Handling Imbalanced Data Classification Problems

por Monika K

29 de jul de 2021

por Idris

21 de set de 2020

por Steven M

10 de mar de 2021

por Aafreen

14 de out de 2020

por Marwa A E

3 de ago de 2020

por Hayan M

16 de out de 2021

por Abekah C K

5 de dez de 2020

por Vaibhav T

16 de ago de 2020

por Luis Á T M

24 de set de 2020

por Neha G

25 de ago de 2020

por Solomon T

3 de ago de 2021

por Divyanshu M

25 de ago de 2020

por Evgeni N

22 de mar de 2022

por Jesus M Z F

1 de ago de 2020

por Matta A A S

25 de jan de 2021

por Merve D

29 de set de 2020

por Hannah P

22 de jan de 2021