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Max Kuhn's Projects

dummies-vs-factors icon dummies-vs-factors

Simulation studies to compare tree- and rule-based models for different encodings

embed-1 icon embed-1

Extra recipes for categorical predictor embeddings

fastadi icon fastadi

Self-Tuning Data Adaptive Matrix Imputation

fes icon fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

ggiraph icon ggiraph

htmlwidget to make 'ggplot' graphics interactive

ggplot2 icon ggplot2

An implementation of the Grammar of Graphics in R

hardhat icon hardhat

A Toolkit for the Construction of Modeling Packages

ichps2015_class_imbalance icon ichps2015_class_imbalance

Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"

ifcs-2017 icon ifcs-2017

Workshop Slides for International Federation of Classification Societies (IFCS)

infer icon infer

An R package for tidyverse-friendly statistical inference

kknn icon kknn

Weighted k-Nearest Neighbors

lime icon lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

lme4 icon lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

model-food-order-delivery-times icon model-food-order-delivery-times

Build a predictive solution to estimate time taken for a delivery and write an python application that can make these predictions/score new cases(create scoring file)

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