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Nathan Moore (nmoorenz)

nmoorenz

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Location:New Zealand

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Nathan Moore's repositories

ADSwR

"Agile Machine Learning with R - A workflow" is an opinionated take on how to do a machine learning project in R

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advent-of-code

Advent of Code: to try to demonstrate some coding knowledge

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adventofcode21

What the Package Does (Title Case)

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allblacks

All Blacks R data package

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automateboring

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creative-website

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fastai

The fastai deep learning library, plus lessons and and tutorials

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foofighters

Foo Toy Package

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geocompr

Forthcoming book on geographic data with R

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golf-scorecard

A scorecard for (disc) golf.

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hello-world

workshop examples

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HOPR

Hands on Programming with R

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hopr-1

This is the website for "Hands-On Programming with R," a book that teaches how to program in R, with hands-on examples.

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hugo-hyde-website

Personal website made with RStudio, Hugo, Hyde theme, and Netlify

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migrate

Tool to help customers migrate artifacts between Databricks workspaces. This allows customers to export configurations and code artifacts as a backup or as part of a migration between a different workspace.

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mixed-models-with-r-workshop-2019

Workshop on using Mixed Models with R

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nmoorenz

Config files for my GitHub profile.

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nmoorenz.github.io.old

personal website deployed to github pages with Jekyll and R

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ODI_results

One Day International match results

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powerbi-docs

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R4DS

My attempts at the exercises in Hadley Wickham's book R For Data Science

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resume-octo-potato

Curriculum Vitae

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rfUtilities

R package for random forests model selection, inference, evaluation and validation

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the-r-in-spark

Mastering Apache Spark with R

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ThePiratesGuideToR

YaRrr! The Pirate's Guide to R

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TheRiddler

Five Thirty Eight The Riddler puzzles and attempted solutions

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TidyTuesday

Contributions and elocutions for #TidyTuesday

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welly

Well handling

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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