Name: Brandon Greenwell
Type: User
Company: 84.51° and University of Cincinnati
Bio: Director, Data Science at 84.51° and Adjunct Instructor at the University of Cincinnati.
Twitter: bgreenwell8
Location: Cincinnati, Ohio
Blog: https://bgreenwell.netlify.com/
Brandon Greenwell's Projects
:exclamation: This is a read-only mirror of the CRAN R package repository. adabag — Applies Multiclass AdaBoost.M1, SAMME and Bagging
Advanced R programming: a book
R tools for Air Force Specialty Codes (AFSCs)
A curated list of awesome machine learning interpretability resources.
Random Forest - a curated list of resources regarding random forest
My (not so lame anymore) website...😎
Website:
Create Blogs and Websites with R Markdown
Brandon's miscellaneous R functions
Distributed Machine Learning in R with Apache Spark: An Introduction Using sparklyr and rsparkling
A minimal book example using bookdown
Basic pattern analysis in R
Calibration curves for binary classification
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R
An R data 📦 of retail shopping transactions for 2469 households over one year
Random triangles on concentric circles
cowsay w/ more animals, in R
Print common R data structures in a format which can be used as input to the interpreter
My CV built using RMarkdown and the pagedown package.
Command Line Interface for Databricks
:exclamation: This is a read-only mirror of the CRAN R package repository. datarobot — 'DataRobot' Predictive Modeling API
Data sets and functions to accompany "Discrete Data Analysis for Business Analytics"
Data table backend for dplyr
R code and data associated with "Environmental and Ecological Statistics with R" (2nd ed)
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.
Slides for a forecasting course based on "Forecasting: Principles and Practice"
Teaching materials for ETC3580
Fast approximate Shapley values in R