Model Selection, Reinforcement Learning, Deep Learning.
dataset is augmented using tsaug python library ((https://github.com/arundo/tsaug ). Various augmentation techniques used are as below: Crop: Randomly crop subsequences in dataset Drift: Randomly drift the data Noise: Randomly add noise Time Wrapping: Apply time wrapping in dataset The traffic