Local Interpretable Model-Agnostic Explanations (R port of original Python package)
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Updated
Aug 19, 2022 - R
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
Large-scale digital mapping of soil organic carbon content by using machine learning algorithms
Regress using many metalearning packages including caret and TPOT from one script. Also artificial data generator, comparison script and several expiraments. Messy.
Applied Predictive Modeling with caret
Lesson files used in the Machine Learning foR Psychologists
Caret R Models Deployment using SQL databases
Create APIs for the deployment of R models with minimal code
This project uses Machine Learning to predict the energy efficiency of buildings based off of the building's features
A series of Data Science projects implemented in R.
Concrete compressive strength prediction with machine learning using the R Caret package.
Web application using machine learning algorithms to predict whether an NBA team will cover the spread.
Entry for the Titanic: Machine Learning from Disaster competition on Kaggle.
R package for stacking caret models
R exercises (2016)
A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
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