Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
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Updated
Feb 18, 2022 - Python
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
COX Proportional risk model and survival analysis implemented by tensorflow.
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
UX Analytics & A/B Testing
Survival models and ML for Korean corporate credit risk assessment
Survival models for insurance — cure models, CLV, lapse tables, MLflow wrapper
Educational framework for gastric cancer risk stratification using Cox proportional hazards and logistic regression models. Implements Han 2012 D2 gastrectomy survival nomogram with TCGA validation. PhD portfolio demonstration.
🚙 Comprehensive driver risk analytics using Cox proportional hazards (C-index: 0.79) and Bayesian hierarchical models (91.4% accuracy) ⚡ Production-ready system with real-time scoring for 300K+ drivers, SHAP explainability, and full Docker/Kubernetes deployment stack
基于生存分析的个人信用风险评估:Cox模型与多种变量选择方法,预测违约时间概率
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