Data Imbalance in Machine Learning: Solutions with Code
In this video, we review how to solve for the Data Imbalance biases that creep into Machine Learning Models. The segments of this video are as follows:
0:00 Welcome and Announcements
2:49 Data Imbalance, the Topic
3:37 The What? Tensorboard examples
7:34 The How? Codebase explained
21:30 Three methods to solve for data imbalance
1. Link to Tensorboard projector: https://projector.tensorflow.org/
2. Link to paper: https://arxiv.org/abs/2102.01625
3. Link to Code: https://github.com/sohiniroych/AI_wit...
The three major steps are:
1. Applying class weights
2. Under-sampling
3. Over-sampling