GitHub topics: super-learner
Curt-Park/handwritten_digit_recognition
Handwritten digit recognition with MNIST & Keras
Language: Python - Size: 40.5 MB - Last synced at: 14 days ago - Pushed at: over 4 years ago - Stars: 78 - Forks: 31
LauraBalzer/AdaptivePrespec
Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"
Language: HTML - Size: 137 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
chizhangucb/tmleCommunity
Targeted Maximum Likelihood Estimation for Hierarchical Data
Language: R - Size: 8.96 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 4
Jingyi-Luo/Prediction_of_Patients_Deterioration_in_Cardiac_Wards
A super learner was built by stacking logistic regression, random forest, and gradient boosting models (XGBoost) to predict whether a patient in the cardiac wards needs to be transferred to ICU.
Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 4
benkeser/intermed
Nonparametric estimators of mediation effects with multiple mediators
Language: R - Size: 967 KB - Last synced at: 24 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
cahuja1992/super_learner
Sklearn based Super Learning Stacked model
Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
