Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/archd3sai/Customer-Survival-Analysis-and-Churn-Prediction

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.

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

Last synced: 08 Jun 2024

https://github.com/adibender/pammtools

Piece-wise exponential Additive Mixed Modeling tools

additive-models pamm pammtools piece-wise-exponential r rstats survival-analysis

Last synced: 04 Jun 2024

https://github.com/MatthewReid854/reliability

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

data-science maximum-likelihood-estimation modeling python reliability-engineering simulation statistics survival-analysis weibull-analysis

Last synced: 31 May 2024

https://github.com/vollmersj/SurvivalAnalysis.jl

A survival analysis interface for Julia

julia survival-analysis time-to-event

Last synced: 31 May 2024

https://github.com/MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction

We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.

breast-cancer-prediction cancer-data decision-trees machine-learning prediction-model survival-analysis variable-importance

Last synced: 29 May 2024

https://github.com/square/pysurvival

Open source package for Survival Analysis modeling

deep-learning machine-learning numpy python pytorch survival-analysis

Last synced: 21 May 2024

https://github.com/nicolasfguillaume/Strategic-Business-Analytics-with-R

Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org

dplyr hierarchical-clustering hr predictive-maintenance r scoring strategic-business-analytics survival-analysis

Last synced: 28 Apr 2024

https://github.com/sebp/scikit-survival

Survival analysis built on top of scikit-learn

machine-learning python scikit-learn survival-analysis

Last synced: 11 Apr 2024

https://github.com/tylermorganwall/skpr

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.

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

Last synced: 31 Mar 2024

https://github.com/loft-br/xgboost-survival-embeddings

Improving XGBoost survival analysis with embeddings and debiased estimators

machine-learning survival-analysis

Last synced: 31 Mar 2024

https://github.com/m-clark/Miscellaneous-R-Code

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**.

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

Last synced: 26 Mar 2024

https://github.com/autonlab/auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

causal-inference counterfactual-inference data-science deep-learning graphical-models machine-learning python regression reliability-analysis survival-analysis time-to-event

Last synced: 21 Mar 2024

https://github.com/thbuerg/NeuralCVD

🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀

cardiovascular-disease pytorch pytorch-lightning risk-modeling survival-analysis time-to-event ukbiobank

Last synced: 17 Mar 2024