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Descriere RO
Enhance your machine learning projects by mastering essential data preparation techniques in R. Learn to clean, transform, and split datasets effectively while addressing missing values, scaling features, and performing stratified sampling. Practical R code examples empower data scientists to build robust models.
EdituraArcler Press
Dimensiuni229 x 152
Data Publicarii02/02/2026
FormatCartonata
Numar pagini295
Aceasta este o carte in limba engleza. Descrierea cartii (tradusa din engleza cu Google Translate) este in limba romana din motive legale.