- Prepare and standardize the BETH training, validation and test datasets.
- Build and train a multilayer neural network with PyTorch.
- Address class imbalance using a weighted loss function.
- Experimental evaluation.
DataCamp project classifying security events from the BETH dataset to practice deep learning.
› loading the BETH data