Max Kuhn Books
Max Kuhn is a data scientist and software engineer known for his contributions to the R community, particularly the caret and tidymodels packages.
Known for: Applied Predictive Modeling
Books by Max Kuhn
Applied Predictive Modeling
Applied Predictive Modeling provides a practical, hands-on introduction to building predictive models using real-world data. The book covers data preprocessing, feature selection, model tuning, and performance evaluation, with examples implemented in R. It emphasizes understanding the modeling process and interpreting results rather than focusing solely on algorithms.
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The Predictive Modeling Process: Building a Reliable Foundation
Predictive modeling is far more than training a regression or classification algorithm—it is a complete workflow that connects data understanding with decision-making. The first step is defining a clear predictive task. A model can only be as precise as its question is well-posed. When predicting cu...
From Applied Predictive Modeling
Preparing and Transforming Data: The Core of Predictive Success
Good models are built from good data. Data preprocessing occupies the majority of practical modeling effort because real-world data is rarely clean. In the book, we explore methods for managing missing values, standardizing scales, transforming skewed distributions, and encoding categorical variable...
From Applied Predictive Modeling
About Max Kuhn
Max Kuhn is a data scientist and software engineer known for his contributions to the R community, particularly the caret and tidymodels packages.
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Max Kuhn is a data scientist and software engineer known for his contributions to the R community, particularly the caret and tidymodels packages.
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