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Mastering Data Mining with Python：Find patterns hidden in your data

更新時間：2021-08-20 10:33:37

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ThisbookisfordatascientistswhoarealreadyfamiliarwithsomebasicdataminingtechniquessuchasSQLandmachinelearning,andwhoarecomfortablewithPython.Ifyouarereadytolearnsomemoreadvancedtechniquesindatamininginordertobecomeadataminingexpert,thisisthebookforyou!

目錄(61章)

倒序

封面
版權頁
Credits
About the Author
About the Reviewers
www.PacktPub.com
eBooks discount offers and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Expanding Your Data Mining Toolbox
What is data mining?
How do we do data mining?
What are the techniques used in data mining?
How do we set up our data mining work environment?
Summary
Chapter 2. Association Rule Mining
What are frequent itemsets?
Towards association rules
A project – discovering association rules in software project tags
Summary
Chapter 3. Entity Matching
What is entity matching?
Entity matching project
Summary
Chapter 4. Network Analysis
What is a network?
Measuring a network
Representing graph data
A real project
Summary
Chapter 5. Sentiment Analysis in Text
What is sentiment analysis?
The basics of sentiment analysis
Sentiment analysis algorithms
Sentiment mining application
Summary
Chapter 6. Named Entity Recognition in Text
Why look for named entities?
Techniques for named entity recognition
Building and evaluating NER systems
Named entity recognition project
Summary
Chapter 7. Automatic Text Summarization
What is automatic text summarization?
Tools for text summarization
Summary
Chapter 8. Topic Modeling in Text
What is topic modeling?
Latent Dirichlet Allocation
Gensim for topic modeling
Gensim LDA for a larger project
Summary
Chapter 9. Mining for Data Anomalies
What are data anomalies?
Summary
Index 更新時間：2021-08-20 10:33:37

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Mastering Data Mining with Python：Find patterns hidden in your data