Machine Learning in R
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Updated
Jun 11, 2024 - R
Machine Learning in R
mlr3: Machine Learning in R - next generation
Collection of various algorithms implemented in R.
🔗 Methods for Correlation Analysis
An R Port of Stata's 'margins' Command
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Diagnostics for HierArchical Regession Models
🎓 Tidy tools for academics
Lesson files for Practical Applications in R for Psychologists.
Conversion of R Regression Output to LaTeX or HTML Tables
Tools for developing OLS regression models
💪 🤔 Modern Super Learning with Machine Learning Pipelines
Fit Gamma-Poisson Generalized Linear Models Reliably
Tidy, Type-Safe 'prediction()' Methods
Recommended learners for mlr3
Auto ML for the tidyverse
D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
Multi-sample somatic variant caller
Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.
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