Learning Data Mining with Python

by Layton, Robert

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If you are a programmer who wants to get started with data mining, then this book is for you

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Title Statements

Full title :Learning Data Mining with Python

Summary

If you are a programmer who wants to get started with data mining, then this book is for you

Edition Statements

Publication Date:2015

Publication Statements

Publisher(s):Packt Publishing
Place of Publication:Birmingham
Language:eng
Publication Date:2015

Notes

IMD-Felder maschinell generiert

Summary.

The Physical Object

Description:Online-Ressource (344 Seiten)

Edition Identifiers

ISBN:9781784396053, 1784396052
oclc:on1020552286
LC Classification:QA76.73.P98 .L384 2015
Dewey Decimal:005.13

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Data Mining; Introducing data mining; Using Python and the IPython notebook; Installing Python; Installing IPython; Installing scikit-learn; A simple affinity analysis example; What is affinity analysis?; Product recommendations; Loading the dataset with NumPy; Implementing a simple ranking of rules; Ranking to find the best rules; A simple classification example; What is classification?; Loading and preparing the dataset.

Implementing the OneR algorithmTesting the algorithm; Summary; Chapter 2: Classifying with scikit-learn; scikit-learn estimators; Nearest neighbors; Distance metrics; Loading the dataset; Moving towards a standard workflow; Running the algorithm; Setting parameters; Preprocessing using pipelines; An example; Standard preprocessing; Putting it all together; Pipelines; Summary; Chapter 3: Predicting Sports Winners with Decision Trees; Loading the dataset; Collecting the data; Using pandas to load the dataset; Cleaning up the dataset; Extracting new features; Decision trees.

Parameters in decision treesUsing decision tree…