This project builds an end-to-end survival prediction pipeline covering data exploration, preprocessing, feature engineering, model training, hyperparameter tuning and deployment. Three models are ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
). All subsequent analyses were performed in Python 3.12 (Anaconda distribution, version 2024.10), using scikit-learn (v1.4) for preprocessing and evaluation, XGBoost for predictive modeling, and SHAP ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results