Feature Engineering and Selection: A Practical Approach for Predictive ModelsКНИГИ » ПРОГРАММИНГ
Название: Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series) Автор: Max Kuhn, Kjell Johnson Издательство: Chapman and Hall/CRC Год: 2019 Формат: True PDF Страниц: 310 Размер: 31.8 Mb Язык: English
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
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Feature Engineering and Selection: A Practical Approach for Predictive Models 
