This is the repo for the document found here, based on the raw code repo- Miscellaneous R Code. The document code has been tidied and may have other improvements relative to the original repo, but remains a conceptual/tutorial endeavor to various modeling techniques and algorithms.
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By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
m-clark/models-by-example
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By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Topics
machine-learning
neural-network
algorithms
linear-regression
lasso
pca
expectation-maximization
splines
logistic-regression
bayesian
gradient-descent
rkhs
ridge-regression
gaussian-processes
cox-model
hamiltonian-monte-carlo
mixed-models
penalized-regression
maximum-likelihood-estimation
zero-inflated
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