Notebooks etc. for Actuarial Data Science use cases:
- credit scoring as binary classification of rare events, based on https://www.kaggle.com/floser/binary-classification-credit-scoring
- claim frequency modeling notebooks with kernels in R and Python, based on https://www.kaggle.com/floser/glm-neural-nets-and-xgboost-for-insurance-pricing and https://www.kaggle.com/code/floser/use-case-claim-frequency-modeling-python