Kaggle competition for survival analysis, sponsored by Stanford
Jupyter Notebook 99.85%Python 0.15%
kaggle-wids-datathon-2020's Introduction
Hi there ๐
๐ญ Iโm a data scientist interested in clinical predictive models, clinical decision support tools, causal inference, MLOps tooling & machine learning engineering, deep learning, developer productivity tools and approaches, optimization problems, interactive data visualization, analytics and data engineering concepts, and product management.
Implement Random Survival Forests using the scikit-survival package. Experiment with different hyperparameters to improve the accuracy metrics and performance.