Machine learning pocket reference

Machine learning pocket reference: working with structured data in Python

by Harrison, Matt

Type Book
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Title Statements

  • Full title :Machine learning pocket reference : working with structured data in Python / Matt Harrison.

Edition Statements

  • Publication Date:2019
  • Edition:First edition

Publication Statements

  • Publisher(s):O'Reilly
  • Place of Publication:Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo
  • Language:eng
  • Publication Date:2019

Notes

Includes index.

The Physical Object

  • Description:1 Online-Ressource (xiii, 303 Seiten) : : Illustrationen

Edition Identifiers

  • ISBN:9781492047544, 1492047546, 9781492047513, 1492047511
  • oclc:on1130267478

Table of Contents

Introduction -- Overview of the machine learning process -- Classification walkthrough : titanic dataset -- Missing data -- Cleaning data -- Exploring -- Preprocess data -- Feature selection -- Imbalanced classes -- Classification -- Model selection -- Metrics and classification evaluation -- Explaining models -- Regression -- Metrics and regression evaluation -- Explaining regression models -- Dimensionality reduction -- Clustering -- Pipelines.

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