Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
Repositories
topepo repositories
Figures for the book Applied Predictive Modeling
Classifications for Kaggle competition
Ames IA Housing data from De Cock (2011)
Data and code from Applied Predictive Modeling (2013)
An R package for fitting Quinlan's C5.0 classification model
An R package for fitting Quinlan's Cubist regression model
moDel Agnostic Language for Exploration and eXplanation
Materials for the Applied Machine Learning Workshop in Washington DC
Materials for the Applied Machine Learning Workshop in Washington DC
Fulfilling food orders are very time sensitive; the customer expects very fast delivery. To improve service times, you need to develop an ETA prediction scheme. Given the time of day, and the distance to be travelled, we would like to estimate the time it takes to deliver an order (ETA). Note that this may vary from city to city.
Create graph diagrams and flowcharts using R.
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Feature Selection Simulation Files
:exclamation: This is a read-only mirror of the CRAN R package repository. GPfit — Gaussian Processes Modeling
R package for Gaussian process modeling
A fake R package to test parsnip model registration
Grant Data
Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"