About This Book
What Does This Book Cover?
The book shows how to rapidly develop and test predictive models using SAS® Enterprise Miner™. Topics include Logistic Regression, Regression, Decision Trees, Neural Networks, Variable Clustering, Observaton-Clustering, Data Imputation, Binning, Data Exploration, Variable Selection, Variable Transformation, Modeling Binary and continuous targets, Analysis of textual data, Eigenvalues, Eigenvectors and principal components, Gradient Boosting, Ensemble, Time Series Data Preparation, Time Series Dimension Reduction, Time Series Similarity and importing external data into SAS Enterprise Miner. The book demonstrates various methods using simple examples and shows how to apply them to real-world business data ...
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