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README.md

Survival Analysis

Survival analysis corresponds to a set of statistical approaches used to investigate the time it takes for an event of interest to occur. Examples: patient death, customer churn, customer conversion...

The python packages used to implement survival analysis are mainly: lifelines and scikit-survival. There are few other packages used as well for certain purpose and/or tasks, e.g. DeepSurv.

This cookbook collects some notebooks based on the official documentation, examples on the Internet. The datasets used are stored in the /data folder.

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