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Hi there 👋

Work 💻

Director, Data Science at 84.51°

Education 🎓

Books 📚

Teach 🏫

  • University of Cincinnati: Adjunct instructor, Department of Operations, Business Analytics, and Information Systems (OBAIS)

  • Wright State University: Former adjunct professor of statistics

Brandon Greenwell's Projects

adabag icon adabag

:exclamation: This is a read-only mirror of the CRAN R package repository. adabag — Applies Multiclass AdaBoost.M1, SAMME and Bagging

adv-r icon adv-r

Advanced R programming: a book

afsc icon afsc

R tools for Air Force Specialty Codes (AFSCs)

blogdown icon blogdown

Create Blogs and Websites with R Markdown

bmisc icon bmisc

Brandon's miscellaneous R functions

book-spark icon book-spark

Distributed Machine Learning in R with Apache Spark: An Introduction Using sparklyr and rsparkling

bpa icon bpa

Basic pattern analysis in R

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

cinday-rug-iml-2018 icon cinday-rug-iml-2018

Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R

completejourney icon completejourney

An R data 📦 of retail shopping transactions for 2469 households over one year

cprint icon cprint

Print common R data structures in a format which can be used as input to the interpreter

cv icon cv

My CV built using RMarkdown and the pagedown package.

datarobot icon datarobot

:exclamation: This is a read-only mirror of the CRAN R package repository. datarobot — 'DataRobot' Predictive Modeling API

ddatools icon ddatools

Data sets and functions to accompany "Discrete Data Analysis for Business Analytics"

eesr icon eesr

R code and data associated with "Environmental and Ecological Statistics with R" (2nd ed)

employee-attrition-aif360 icon employee-attrition-aif360

Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.

etc3550slides icon etc3550slides

Slides for a forecasting course based on "Forecasting: Principles and Practice"

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