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Learner Reviews & Feedback for Handling Imbalanced Data Classification Problems by Coursera Project Network

4.7
stars
31 ratings
9 reviews

About the Course

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....

Top reviews

VT

Aug 17, 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.

NG

Aug 25, 2020

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

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1 - 9 of 9 Reviews for Handling Imbalanced Data Classification Problems

By Aafreen

Oct 14, 2020

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

By Marwa A E

Aug 03, 2020

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.

By Vaibhav T

Aug 17, 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.

By Neha G

Aug 25, 2020

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

By Divyanshu M

Aug 26, 2020

Great learning experience

By Jesus M Z F

Aug 01, 2020

Great course

By Merve D

Sep 29, 2020

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

By Idris

Sep 22, 2020

It is a good class for an intermediate level