Feature engineering bookcamp

Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book's practical case studies reveal feature engineering techniques that upgrade your data wrangling--and your ML results. Feature Engineering Bookcamp guides you through a collectio...

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Detalles Bibliográficos
Otros Autores: Ozdemir, Sinan, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning [2022]
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009686249506719
Descripción
Sumario:Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters! This book's practical case studies reveal feature engineering techniques that upgrade your data wrangling--and your ML results. Feature Engineering Bookcamp guides you through a collection of projects that give you hands-on practice with core feature engineering techniques. You'll work with feature engineering practices that speed up the time it takes to process data and deliver real improvements in your model's performance. This instantly-useful book skips the abstract mathematical theory and minutely-detailed formulas; instead you'll learn through interesting code-driven case studies, including tweet classification, COVID detection, recidivism prediction, stock price movement detection, and more.
Notas:Includes index.
Descripción Física:1 online resource (211 pages)
ISBN:9781638351405