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Python Data Mining Quick Start Guide
Nathan Greeneltch更新时间：2021-06-24 15:20:20
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Dataminingisanecessaryandpredictableresponsetothedawnoftheinformationage.Itistypicallydefinedasthepatternand/ortrenddiscoveryphaseinthedataminingpipeline,andPythonisapopulartoolforperformingthesetasksasitoffersawidevarietyoftoolsfordatamining.ThisbookwillserveasaquickintroductiontotheconceptofdataminingandputtingittopracticalusewiththehelpofpopularPythonpackagesandlibraries.Youwillgetahands-ondemonstrationofworkingwithdifferentreal-worlddatasetsandextractingusefulinsightsfromthemusingpopularPythonlibrariessuchasNumPy,pandas,scikit-learn,andmatplotlib.Youwillthenlearnthedifferentstagesofdataminingsuchasdataloading,cleaning,analysis,andvisualization.Youwillalsogetafullconceptualdescriptionofpopulardatatransformation,clustering,andclassificationtechniques.Bytheendofthisbook,youwillbeabletobuildanefficientdataminingpipelineusingPythonwithoutanyhassle.
品牌：中图公司
上架时间：2019-04-25 00:00:00
出版社：Packt Publishing
本书数字版权由中图公司提供，并由其授权上海阅文信息技术有限公司制作发行
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- Summary
- Python-specific deployment concerns
- Loading a serialized model and predicting
- Serializing a model and storing with the pickle module
- Deploying the model
- Scikit-learn's pipeline object
- Pipelining your analysis
- Advanced Topics - Building a Data Processing Pipeline and Deploying It
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