GitHub - AngelFelizR/ML-Summary-Notes: The purpose of creating this book is share the lessons learnt by reading and completing the exercises in the book. It also could work as summary of the main point of the book.

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docs		docs
img		img
references		references
renv		renv
.Rprofile		.Rprofile
.gitignore		.gitignore
.nojekyll		.nojekyll
01-modeling-process.qmd		01-modeling-process.qmd
02-feature-engineering.qmd		02-feature-engineering.qmd
03-model-performance.qmd		03-model-performance.qmd
04-resampling-methods.qmd		04-resampling-methods.qmd
05-generalized-linear-models.qmd		05-generalized-linear-models.qmd
06-generative-classification-models.qmd		06-generative-classification-models.qmd
07-non-parametric-models.qmd		07-non-parametric-models.qmd
08-survival-analysis.qmd		08-survival-analysis.qmd
09-unsupervised-learning.qmd		09-unsupervised-learning.qmd
ML-Summary-Notes.Rproj		ML-Summary-Notes.Rproj
_quarto.yml		_quarto.yml
execises-02.qmd		execises-02.qmd
execises-03.qmd		execises-03.qmd
execises-04.qmd		execises-04.qmd
execises-05.qmd		execises-05.qmd
execises-11.qmd		execises-11.qmd
index.qmd		index.qmd
renv.lock		renv.lock
summary-format.css		summary-format.css

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The purpose of creating this book is share the lessons learnt by reading and completing the exercises in the book. It also could work as summary of the main point of the book.

angelfelizr.github.io/ML-Summary-Notes/

machine-learning rdatatable tidymodels tidyverse

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