- Importance of data visualization in interpreting and communicating ML results.
- Techniques for visualizing biological data: scatter plots, heatmaps, box plots, etc.
- Visualizing model predictions, decision boundaries, and feature importance.
- Interactive visualization tools for biological datasets and ML models.
- Presenting and communicating ML results effectively.