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Max Kuhn's Projects

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

measure icon measure

The goal of measure is to be a recipes-like interface to tidymodels for analytical characterization data.

mixomics icon mixomics

Development repository for the Bioconductor package 'mixOmics '

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)

modeltime icon modeltime

Modeltime unlocks time series models and machine learning in one framework

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

ncb-2019-shiny icon ncb-2019-shiny

materials for shiny workshop at the 2019 Nonclinical Biostatistics Conference

ncblf-posit icon ncblf-posit

Posit overview for the Nonclinical Biostatistics Leadership Forum

nhl icon nhl

NHL stats and analyses using the NHL API and R

ny-ml-2018 icon ny-ml-2018

Materials for the Applied Machine Learning Workshop in New York

nyr-2019 icon nyr-2019

Workshop notes for NYR conference workshop

nyr-2020 icon nyr-2020

Materials for the 2020 NYR Machine Learning workshop

odsc-2019 icon odsc-2019

Notes and code for "Modeling in the tidyverse" 90m workshop at ODSC East

odsc_rules icon odsc_rules

Notes and code for the workshop "Rule-Based Models for Regression and Classification”

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