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7 search results found

Machine Learning In R ⭐ 144

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Handwritten_digit_recognition ⭐ 46

Handwritten digit recognition with MNIST & Keras

Superlearner Guide ⭐ 35

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.

Lmtp Tutorial ⭐ 11

Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)

Tmlecommunity ⭐ 5

Targeted Maximum Likelihood Estimation for Hierarchical Data

Predictive Modeling In R ⭐ 5

Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.

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1-7 of 7 search results

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