Machine Learning with Scikit-Learn Quick Start Guide : Classification, Regression, and Clustering Techniques in Python.

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Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize and evaluate all the important machine learning algorithms that scikit-learn prov...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Jolly, Kevin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2018.
Temas:
Python.
Machine learning.
Apprentissage automatique.
Database design & theory.
Data capture & analysis.
Information architecture.
Mathematical theory of computation.
Computers > Data Processing.
Computers > Data Modeling & Design.
Computers > Machine Theory.
Machine learning
Acceso en línea:Texto completo
Descripción
Sumario:Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize and evaluate all the important machine learning algorithms that scikit-learn provides.
Notas:Implementing the decision tree regressor in scikit-learn.
Descripción Física:1 online resource (164 pages)
ISBN:9781789347371
1789347378

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