Code: 50901393
Delve into data preprocessing as the basis for predictive modeling. Learn how to normalize data, impute missing values, detect outliers, and engineer features using R. Practical examples, R scripts, and visualization tools guide s ... more
English
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Book synopsis
Delve into data preprocessing as the basis for predictive modeling. Learn how to normalize data, impute missing values, detect outliers, and engineer features using R. Practical examples, R scripts, and visualization tools guide students and professionals in crafting reliable machine learning models.
Book details
Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik
196.58 €
English
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