survival-analysis

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

random-forest hazard flask-application data-analysis survival-analysis partial-dependence-plot explainable-ai customer-churn-prediction shap-values customer-survival-analysis

UpdatedSep 30, 2022
Jupyter Notebook

m-clark /Miscellaneous-R-Code

Star196

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

python machine-learning r julia zip matlab irt pca survival-analysis bayesian stan em mixture-model factor-analysis gaussian-processes jags mixed-models additive-models ordinal-regression probit

UpdatedNov 25, 2020
R

gpstuff-dev /gpstuff

Star175

GPstuff - Gaussian process models for Bayesian analysis

regression octave classification survival-analysis bayesian spatial-analysis bayesian-inference expectation-propagation mcmc gaussian-processes variational-inference bayesian-optimization covariance-functions

UpdatedDec 30, 2022
MATLAB

vanderschaarlab /autoprognosis

Star151

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

healthcare survival-analysis automl interpretability

UpdatedMar 26, 2025
Python

rk2900 /DRSA

Star141

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

data-science machine-learning deep-learning survival-analysis

UpdatedJan 28, 2021
Python

Novartis /torchsurv

Star137

Deep survival analysis made easy

deep-learning pytorch survival-analysis

UpdatedJul 1, 2025
Python

mlr-org /mlr3proba

Sponsor

Star137

Probabilistic Learning for mlr3

machine-learning r supervised-learning survival-analysis r-package density-estimation mlr3 probabilistic-supervised-learning probabilistic-regression

UpdatedJul 1, 2025
R

kokikwbt /predictive-maintenance

Star121

Datasets for Predictive Maintenance

machine-learning automation time-series forecasting survival-analysis anomaly time-series-analysis time-to-event anomaly-detection industry-4 predictive-maintenance remaining-useful-life degradation condition-based-maintenance phm prognosis-and-health-management ai-engineering run-to-failure-models run-to-failure event-to-event

UpdatedMay 8, 2025
Jupyter Notebook

tylermorganwall /skpr

Star119

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

r monte-carlo linear-regression power rstats survival-analysis linear-models design-of-experiments optimal-designs split-plot-designs