Implementation of Super Learner classifier and comparison with Logistic regression, SVC and Random Forests classifier.
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Updated
Oct 4, 2018 - HTML
Implementation of Super Learner classifier and comparison with Logistic regression, SVC and Random Forests classifier.
Ensembled Feature Selection using Cross-Validated SuperLearner
This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.
Hack Aotearoa 2020
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
Super LeArner Predictions using NAb Panels
Implementing Gradient Boosting & SuperLearner in R and compare the classification accuracy of the two methods.
SuperLearner R package: prediction model ensembling method
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
Introduction to Double Robust Estimation for Causal Inference
A parallel implementation of the Super Learner estimator in Python. Winner of the Statistical Learning course contest!
A collection of additional screening algorithms for SuperLearner
Ensemble feature ranking for SuperLearner variable selection
Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
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