Past Meetup

Dealing with Imbalanced Data

This Meetup is past

22 people went

Location image of event venue

Details

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.