Machine learning pocket reference: working with structured data in Python

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With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Yo…

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Title Statements

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

Summary

Edition Statements

Publication Date:©2019
Edition:First edition

Publication Statements

Publisher(s):O'Reilly Media, Inc
Place of Publication:North Sebastopol, CA
Language:eng
Publication Date:©2019

Notes

Includes index.

The Physical Object

Description:xiii, 303 pages : : illustrations ; : 18 cm

Edition Identifiers

ISBN:9781492047544, 1492047546
oclc:on1091370977
LC Classification:Q325.5
Dewey Decimal:006.3/1

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.