Tutorial on survival analysis using TensorFlow.
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Updated
May 16, 2020 - Jupyter Notebook
Tutorial on survival analysis using TensorFlow.
Slides and notebooks for my tutorial at PyData London 2018
A collection of my own Jupyter Notebooks for learning and experimentation.
Estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
Free notebooks & app for Monte Carlo, Causal, Bayes, Survival Analysis and turning security data into decisions.
Advanced Titanic survival analysis using pandas and Jupyter Notebook with comprehensive data cleaning, feature engineering, and visualizations
End-to-end workflow on synthetic accelerated life test (ALT) data: dataset generation, Kaplan–Meier survival analysis, Weibull-2P modeling, and Arrhenius temperature acceleration. Includes Py scripts, Jupyter notebooks, plots, and CSV outputs.
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