Applied Predictive Modeling
A hands-on resource for building, validating, and deploying predictive models using statistical learning methods and real data examples.
About This Book
Applied Predictive Modeling provides a comprehensive introduction to the process of developing predictive models from data.
The book covers essential steps including data preprocessing, feature engineering, model tuning, and performance evaluation.
Readers learn to apply a variety of modeling techniques to solve practical problems across different domains.
Emphasis is placed on understanding model behavior and selecting appropriate methods based on data characteristics.
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