Topic: superlearner Goto Github
Some thing interesting about superlearner
Some thing interesting about superlearner
superlearner,Implementing Gradient Boosting & SuperLearner in R and compare the classification accuracy of the two methods.
User: arek-kesizabnousi
superlearner,Super LeArner Predictions using NAb Panels
User: benkeser
Home Page: https://benkeser.github.io/slapnap/
superlearner,Implementation of Super Learner classifier and comparison with Logistic regression, SVC and Random Forests classifier.
User: bhaveshkr
Home Page: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.211.6393&rep=rep1&type=pdf
superlearner,R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
User: ck37
superlearner,Ensemble feature ranking for SuperLearner variable selection
User: ck37
superlearner,Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.
User: ck37
Home Page: https://ck37.github.io/Predictive-Modeling-in-R
superlearner, SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
User: ck37
superlearner,Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Organization: dlab-berkeley
Home Page: https://dlab-berkeley.github.io/Machine-Learning-in-R/slides.html
superlearner,A parallel implementation of the Super Learner estimator in Python. Winner of the Statistical Learning course contest!
User: dragostana
superlearner,Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
User: kathoffman
superlearner,npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
User: larsvanderlaan
superlearner,Introduction to Double Robust Estimation for Causal Inference
User: laurabalzer
superlearner,R code for evaluating adult HIV incidence, health, & implementation outcomes for the first phase of the SEARCH Study (https://www.searchendaids.com/). Full statistical analysis plan available at https://arxiv.org/abs/1808.03231
User: laurabalzer
superlearner,Hack Aotearoa 2020
User: manvimadandotai
superlearner,A collection of additional screening algorithms for SuperLearner
User: saraemoore
superlearner,Ensembled Feature Selection using Cross-Validated SuperLearner
User: saraemoore
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