Past Meetup

Dealing with Imbalanced Data

This Meetup is past

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This month we are going to talk about imbalanced classes in our data.
Imbalanced data is a common problem in lots of domains, such as Fraud detection, Disease detection etc.
In this talk, we will give cover different methods for dealing with such problems. For example: Resampling, SMOTE, Feature Learning and more.