Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
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Figures for the book Applied Predictive Modeling
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Classifications for Kaggle competition
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Ames IA Housing data from De Cock (2011)
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Data and code from Applied Predictive Modeling (2013)
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An R package for fitting Quinlan's C5.0 classification model
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topepo/CPSC393ParlettPelleritiJupyter Notebook
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An R package for fitting Quinlan's Cubist regression model
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topepo/DALEXPython
moDel Agnostic Language for Exploration and eXplanation
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topepo/DC-ML-2018JavaScript
Materials for the Applied Machine Learning Workshop in Washington DC
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Materials for the Applied Machine Learning Workshop in Washington DC
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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.
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Create graph diagrams and flowcharts using R.
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topepo/FESHTML
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
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Feature Selection Simulation Files
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:exclamation: This is a read-only mirror of the CRAN R package repository. GPfit — Gaussian Processes Modeling
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R package for Gaussian process modeling
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A fake R package to test parsnip model registration
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Grant Data
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Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"
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