Hands-on machine learning with scikit-learn and scientific Python toolkits a practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the art of data-driven p...

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Detalles Bibliográficos
Otros Autores: Amr, Tarek, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt 2020.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631058506719

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